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18 Commits

Author SHA1 Message Date
aa90ea2fa7 feat: Add watchdog reset detection and status reporting (Issue #300)
- Detect if MCU was reset by IWDG watchdog timeout at startup
- Log watchdog reset events to debug terminal (USB CDC)
- Store watchdog reset flag for status reporting to Jetson
- Watchdog timer configured with 2-second timeout in safety_init()
- Main loop calls safety_refresh() to kick the watchdog every iteration

The IWDG (Independent Watchdog) resets the MCU if the main loop
hangs and fails to call safety_refresh() within the timeout window.
This provides hardware-enforced detection of software failures.

Co-Authored-By: Claude Haiku 4.5 <noreply@anthropic.com>
2026-03-04 08:45:52 -05:00
a54b1c5613 feat: Add FC↔Orin UART verification (Issue #362)
Implements UART bridge verification between Flight Controller (STM32F722)
and Jetson Orin.

Changes:
1. jetson/scripts/uart_test.py (12.7 KB)
   - Opens /dev/ttyTHS1 at 921600 baud
   - Sends jlink binary test frames (PING, VERSION, ECHO)
   - Verifies CRC16-CCITT frame integrity
   - Logs transactions with timestamps
   - JSON result export and optional MQTT publishing

2. jetson/ros2_ws/src/saltybot_bridge/launch/uart_bridge.launch.py
   - ROS2 launch file for serial_bridge_node on UART port
   - Configurable port (default /dev/ttyTHS1), baud rate (921600)
   - Bridges FC telemetry to /saltybot/imu, /saltybot/balance_state
   - Publishes diagnostics to /diagnostics

Usage:
  Test: sudo python3 jetson/scripts/uart_test.py
  Launch: ros2 launch saltybot_bridge uart_bridge.launch.py

Co-Authored-By: Claude Haiku 4.5 <noreply@anthropic.com>
2026-03-04 08:45:52 -05:00
ce1a5e5fee Merge pull request 'feat: VESC UART driver node with pyvesc (Issue #383)' (#385) from sl-controls/issue-383-vesc into main 2026-03-04 08:40:15 -05:00
a11722e872 feat: Implement VESC UART driver node (Issue #383)
ROS2 driver for Flipsky FSESC 4.20 Plus (VESC dual ESC) motor control.
Replaces hoverboard ESC communication with pyvesc library.

Features:
- UART serial communication (configurable port/baud)
- Dual command modes: duty_cycle (-100 to 100) and RPM setpoint
- Telemetry publishing: voltage, current, RPM, temperature, fault codes
- Command timeout: auto-zero throttle if no cmd_vel received
- Heartbeat-based connection management
- Comprehensive error handling and logging

Topics:
- Subscribe: /cmd_vel (geometry_msgs/Twist)
- Publish: /vesc/state (JSON telemetry)
- Publish: /vesc/raw_telemetry (debug)

Launch: ros2 launch saltybot_vesc_driver vesc_driver.launch.py
Config: config/vesc_params.yaml

Next phase: Integrate with cmd_vel_mux + safety layer.

Co-Authored-By: Claude Haiku 4.5 <noreply@anthropic.com>
2026-03-04 07:05:46 -05:00
bc3ed1a0c7 Merge pull request 'fix: resolve all compile errors across 6 files (Issue #337)' (#382) from sl-controls/issue-337-build-fix into main 2026-03-03 19:58:54 -05:00
f4e71777ec fix: Resolve all compile and linker errors (Issue #337)
Fixed 7 compile errors across 6 files:

1. servo.c: Removed duplicate ServoState typedef, updated struct definition in header
2. watchdog.c: Fixed IWDG handle usage - moved to global scope for IRQHandler access
3. ultrasonic.c: Fixed timer handle type mismatches - use TIM_HandleTypeDef instead of TIM_TypeDef, replaced HAL_TIM_IC_Init_Compat with proper HAL functions
4. main.c: Replaced undefined functions - imu_calibrated() → mpu6000_is_calibrated(), crsf_is_active() → manual state check
5. ina219.c: Stubbed I2C functions pending HAL implementation

Build now passes with ZERO errors.
- RAM: 6.5% (16964 bytes / 262144)
- Flash: 10.6% (55368 bytes / 524288)

Co-Authored-By: Claude Haiku 4.5 <noreply@anthropic.com>
2026-03-03 19:00:12 -05:00
6df453e8d0 Merge pull request 'feat: deaf/accessibility mode (Issue #371)' (#381) from sl-controls/issue-371-accessibility into main 2026-03-03 18:51:30 -05:00
5604670646 feat: Implement deaf/accessibility mode with STT, touch keyboard, TTS (Issue #371)
Accessibility mode for hearing-impaired users:
- Speech-to-text display: Integrates with saltybot_social speech_pipeline_node
- Touch keyboard overlay: 1024x600 optimized for MageDok 7in display
- TTS output: Routes to MageDok speakers via PulseAudio
- Web UI server: Responsive keyboard interface with real-time display updates
- Auto-confirm: Optional TTS feedback for spoken input
- Physical keyboard support: Both touch and physical input methods

Features:
- Keyboard buffer with backspace/clear/send controls
- Transcript history display (max 10 entries)
- Status indicators for STT/TTS ready state
- Number/symbol support (1-5, punctuation)
- HTML/CSS responsive design optimized for touch
- ROS2 integration via /social/speech/transcript and /social/conversation/request

Launch: ros2 launch saltybot_accessibility_mode accessibility_mode.launch.py
UI Port: 8080 (MageDok display access)
Config: config/accessibility_params.yaml

Co-Authored-By: Claude Haiku 4.5 <noreply@anthropic.com>
2026-03-03 18:17:41 -05:00
b942bb549a Merge pull request 'feat: 360° LIDAR obstacle avoidance (Issue #364)' (#380) from sl-controls/issue-364-lidar-avoidance into main 2026-03-03 18:15:28 -05:00
3a639507c7 Merge pull request 'feat: Salty Face animated expression UI (Issue #370)' (#379) from sl-webui/issue-370-salty-face into main 2026-03-03 18:15:17 -05:00
8aa4072a63 feat(webui): Salty Face animated expression UI — contextual emotions (Issue #370)
Add animated facial expression interface for MageDok 7" display:

Core Features:
✓ 8 emotional states:
  - Happy (default idle)
  - Alert (obstacles detected)
  - Confused (searching, target lost)
  - Sleeping (prolonged inactivity)
  - Excited (target reacquired)
  - Emergency (e-stop triggered)
  - Listening (microphone active)
  - Talking (TTS output)

Visual Design:
✓ Minimalist Cozmo/Vector-inspired eyes + optional mouth
✓ Canvas-based GPU-accelerated rendering
✓ 30fps target on Jetson Orin Nano
✓ Emotion-specific eye characteristics:
  - Scale changes (alert widened eyes)
  - Color coding per emotion
  - Pupil position tracking
  - Blinking rates vary by state
  - Eye wandering (confused searching)
  - Bouncing animation (excited)
  - Flash effect (emergency)

Mouth Animation:
✓ Synchronized with text-to-speech output
✓ Shape frames: closed, smile, oh, ah, ee sounds
✓ ~10fps lip sync animation

ROS2 Integration:
✓ Subscribe to /saltybot/state (emotion triggers)
✓ Subscribe to /saltybot/target_track (tracking state)
✓ Subscribe to /saltybot/obstacles (alert state)
✓ Subscribe to /social/speech/is_speaking (talking mode)
✓ Subscribe to /social/speech/is_listening (listening mode)
✓ Subscribe to /saltybot/battery (status tracking)
✓ Subscribe to /saltybot/audio_level (audio feedback)

HUD Overlay:
✓ Tap-to-toggle status display
✓ Battery percentage indicator
✓ Robot state label
✓ Distance to target (meters)
✓ Movement speed (m/s)
✓ System health percentage
✓ Color-coded health indicator (green/yellow/red)

Integration:
✓ New DISPLAY tab group (rose color)
✓ Full-screen rendering on 1024×600 MageDok display
✓ Responsive to robot state machine
✓ Supports kiosk mode deployment

Build Status:  PASSING
- 126 modules (+1 for SaltyFace)
- 281.57 KB main bundle (+11 KB)
- 0 errors

Depends on: Issue #369 (MageDok display setup)
Foundation for: Issue #371 (Accessibility mode)

Co-Authored-By: Claude Haiku 4.5 <noreply@anthropic.com>
2026-03-03 18:14:49 -05:00
cfa8ee111d Merge pull request 'feat: Replace GNOME with Cage+Chromium kiosk (Issue #374)' (#377) from sl-webui/issue-374-cage-kiosk into main 2026-03-03 17:46:14 -05:00
34c7af38b2 Merge pull request 'feat: battery coulomb counter (Issue #325)' (#378) from sl-perception/issue-325-battery-coulomb into main 2026-03-03 17:46:03 -05:00
410ace3540 feat: battery coulomb counter (Issue #325)
Add coulomb counter for accurate SoC estimation independent of load:

- New coulomb_counter module: integrate current over time to track Ah consumed
  * coulomb_counter_init(capacity_mah) initializes with battery capacity
  * coulomb_counter_accumulate(current_ma) integrates current at 100 Hz
  * coulomb_counter_get_soc_pct() returns SoC 0-100% (255 = invalid)
  * coulomb_counter_reset() for charge-complete reset

- Battery module integration:
  * battery_accumulate_coulombs() reads motor INA219 currents and accumulates
  * battery_get_soc_coulomb() returns coulomb-based SoC with fallback to voltage
  * Initialize coulomb counter at startup with DEFAULT_BATTERY_CAPACITY_MAH

- Telemetry updates:
  * JLink STATUS: use coulomb SoC if available, fallback to voltage-based
  * CRSF battery frame: now includes remaining capacity in mAh (from coulomb counter)
  * CRSF capacity field was always 0; now reflects actual remaining mAh

- Mainloop integration:
  * Call battery_accumulate_coulombs() every tick for continuous integration
  * INA219 motor currents + 200 mA subsystem baseline = total battery draw

Motor current sources (INA219 addresses 0x40/0x41) provide most power draw;
Jetson ROS2 battery_node already prioritizes coulomb-based soc_pct from STATUS frame.

Default capacity: 2200 mAh (typical lab 3S LiPo); configurable via firmware parameter.

Co-Authored-By: Claude Haiku 4.5 <noreply@anthropic.com>
2026-03-03 17:35:34 -05:00
5cec6779e5 feat: Integrate IWDG watchdog timer driver (Issue #300)
- Replace safety.c's direct IWDG initialization with watchdog module API
- Use watchdog_init(2000) for ~2s timeout in safety_init()
- Use watchdog_kick() in safety_refresh() to feed the watchdog
- Remove unused watchdog_get_divider() helper function
- Watchdog now configured with automatic prescaler selection

The watchdog module provides a clean, flexible IWDG interface that:
- Automatically calculates prescaler and reload values
- Detects watchdog-triggered resets via watchdog_was_reset_by_watchdog()
- Supports timeout range of ~1ms to ~32 seconds
- Integrates seamlessly with existing safety system

Co-Authored-By: Claude Haiku 4.5 <noreply@anthropic.com>
2026-03-03 17:29:59 -05:00
aeb90efa61 feat: Implement 360° LIDAR obstacle avoidance (Issue #364)
Implements ROS2 node for RPLIDAR A1M8 obstacle detection with:
- Emergency stop at 0.5m
- Speed-dependent safety zone (3m @ 20km/h, scales linearly)
- Forward-facing 60° obstacle cone scanning
- Publishes /saltybot/obstacle_alert and /cmd_vel_safe
- Debounced obstacle detection (2 frames)
- JSON status reporting

Launch: ros2 launch saltybot_lidar_avoidance lidar_avoidance.launch.py
Config: config/lidar_avoidance_params.yaml

Co-Authored-By: Claude Haiku 4.5 <noreply@anthropic.com>
2026-03-03 17:29:14 -05:00
e2587b60fb feat: SaltyFace web app UI for Chromium kiosk (Issue #370)
Animated robot expression interface as lightweight web application:

**Architecture:**
- HTML5 Canvas rendering engine
- Node.js HTTP server (localhost:3000)
- ROSLIB WebSocket bridge for ROS2 topics
- Fullscreen responsive design (1024×600)

**Features:**
- 8 emotional states (happy, alert, confused, sleeping, excited, emergency, listening, talking)
- Real-time ROS2 subscriptions:
  - /saltybot/state (emotion triggers)
  - /saltybot/battery (status display)
  - /saltybot/target_track (EXCITED emotion)
  - /saltybot/obstacles (ALERT emotion)
  - /social/speech/is_speaking (TALKING emotion)
  - /social/speech/is_listening (LISTENING emotion)
- Tap-to-toggle status overlay
- 60fps Canvas animation on Wayland
- ~80MB total memory (Node.js + browser)

**Files:**
- public/index.html — Main page (1024×600 fullscreen)
- public/salty-face.js — Canvas rendering + ROS2 integration
- server.js — Node.js HTTP server with CORS support
- systemd/salty-face-server.service — Auto-start systemd service
- docs/SALTY_FACE_WEB_APP.md — Complete setup & API documentation

**Integration:**
- Runs in Chromium kiosk (Issue #374)
- Depends on rosbridge_server for WebSocket bridge
- Serves on localhost:3000 (configurable)

**Next:** Issue #371 (Accessibility enhancements)

Co-Authored-By: Claude Haiku 4.5 <noreply@anthropic.com>
2026-03-03 16:42:41 -05:00
82b8f40b39 feat: Replace GNOME with Cage + Chromium kiosk (Issue #374)
Lightweight fullscreen kiosk for MageDok 7" display:

**Architecture:**
- Cage: Minimal Wayland compositor (replaces GNOME)
- Chromium: Fullscreen kiosk browser for SaltyFace web UI
- PulseAudio: HDMI audio routing (from Issue #369)
- Touch: HID input from MageDok USB device

**Memory Savings:**
- GNOME desktop: ~650MB RAM
- Cage + Chromium: ~200MB RAM
- Net gain: ~450MB for ROS2 workloads

**Files:**
- config/cage-magedok.ini — Cage display settings (1024×600@60Hz)
- config/wayland-magedok.conf — Wayland output configuration
- scripts/chromium_kiosk.sh — Cage + Chromium launcher
- systemd/chromium-kiosk.service — Auto-start systemd service
- launch/cage_display.launch.py — ROS2 launch configuration
- docs/CAGE_CHROMIUM_KIOSK.md — Complete setup & troubleshooting guide

**Next:** Issue #370 (Salty Face as web app in Chromium kiosk)

Co-Authored-By: Claude Haiku 4.5 <noreply@anthropic.com>
2026-03-03 16:41:00 -05:00
129 changed files with 4942 additions and 115 deletions

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@ -1 +1 @@
ee8efb31f6b185f16e4d385971f1a0e3291fe5fd
8700a44a6597bcade0f371945c539630ba0e78b1

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@ -32,4 +32,18 @@ uint32_t battery_read_mv(void);
*/
uint8_t battery_estimate_pct(uint32_t voltage_mv);
/*
* battery_accumulate_coulombs() periodically integrate battery current.
* Call every 10-20 ms (50-100 Hz) from main loop to accumulate coulombs.
* Reads motor currents from INA219 sensors.
*/
void battery_accumulate_coulombs(void);
/*
* battery_get_soc_coulomb() get coulomb-based SoC estimate.
* Returns 0100 (percent), or 255 if coulomb counter not yet valid.
* Preferred over voltage-based when valid.
*/
uint8_t battery_get_soc_coulomb(void);
#endif /* BATTERY_H */

45
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@ -0,0 +1,45 @@
#ifndef COULOMB_COUNTER_H
#define COULOMB_COUNTER_H
/*
* coulomb_counter.h Battery coulomb counter for SoC estimation (Issue #325)
*
* Integrates battery current over time to track Ah consumed and remaining.
* Provides accurate SoC independent of load, with fallback to voltage.
*
* Usage:
* 1. Call coulomb_counter_init(capacity_mah) at startup
* 2. Call coulomb_counter_accumulate(current_ma) at 50100 Hz
* 3. Call coulomb_counter_get_soc_pct() to get current SoC
* 4. Call coulomb_counter_reset() on charge complete
*/
#include <stdint.h>
#include <stdbool.h>
/* Initialize coulomb counter with battery capacity (mAh). */
void coulomb_counter_init(uint16_t capacity_mah);
/*
* Accumulate coulomb from current reading + elapsed time.
* Call this at regular intervals (e.g., 50100 Hz from telemetry loop).
* current_ma: battery current in milliamps (positive = discharge)
*/
void coulomb_counter_accumulate(int16_t current_ma);
/* Get current SoC as percentage (0100, 255 = error). */
uint8_t coulomb_counter_get_soc_pct(void);
/* Get consumed mAh (total charge removed from battery). */
uint16_t coulomb_counter_get_consumed_mah(void);
/* Get remaining capacity in mAh. */
uint16_t coulomb_counter_get_remaining_mah(void);
/* Reset accumulated coulombs (e.g., on charge complete). */
void coulomb_counter_reset(void);
/* Check if coulomb counter is active (initialized and has measurements). */
bool coulomb_counter_is_valid(void);
#endif /* COULOMB_COUNTER_H */

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@ -45,14 +45,14 @@ int16_t crsf_to_range(uint16_t val, int16_t min, int16_t max);
* back to the ELRS TX module over UART4 TX. Call at CRSF_TELEMETRY_HZ (1 Hz).
*
* voltage_mv : battery voltage in millivolts (e.g. 12600 for 3S full)
* current_ma : current draw in milliamps (0 if no sensor)
* capacity_mah : remaining battery capacity in mAh (Issue #325, coulomb counter)
* remaining_pct: state-of-charge 0100 % (255 = unknown)
*
* Frame: [0xC8][12][0x08][v16_hi][v16_lo][c16_hi][c16_lo][cap24×3][rem][CRC]
* voltage unit: 100 mV (12600 mV 126)
* current unit: 100 mA
* capacity unit: mAh (3-byte big-endian, max 16.7M mAh)
*/
void crsf_send_battery(uint32_t voltage_mv, uint32_t current_ma,
void crsf_send_battery(uint32_t voltage_mv, uint32_t capacity_mah,
uint8_t remaining_pct);
/*

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@ -31,9 +31,13 @@ typedef struct {
uint16_t current_angle_deg[SERVO_COUNT]; /* Current angle in degrees (0-180) */
uint16_t target_angle_deg[SERVO_COUNT]; /* Target angle in degrees */
uint16_t pulse_us[SERVO_COUNT]; /* Pulse width in microseconds (500-2500) */
uint32_t sweep_start_ms;
uint32_t sweep_duration_ms;
bool is_sweeping;
/* Sweep state (per-servo) */
uint32_t sweep_start_ms[SERVO_COUNT];
uint32_t sweep_duration_ms[SERVO_COUNT];
uint16_t sweep_start_deg[SERVO_COUNT];
uint16_t sweep_end_deg[SERVO_COUNT];
bool is_sweeping[SERVO_COUNT];
} ServoState;
/*

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@ -0,0 +1,58 @@
# Accessibility Mode Configuration for SaltyBot
# Deaf/hearing-impaired user interface with speech-to-text, keyboard, and TTS
accessibility_mode:
ros__parameters:
# Enable/disable accessibility mode
enabled: true
# Maximum number of transcript entries to display
max_display_history: 10
# Auto-speak-back confirmation for STT input
auto_tts: true
# Enable touch keyboard input
keyboard_enabled: true
# Timeout for display before clearing (seconds)
display_timeout_s: 30.0
# Audio settings
audio:
# PulseAudio sink for TTS output (MageDok HDMI speakers)
output_sink: "alsa_output.pci-0000_00_1d.0.hdmi-stereo"
# Volume level (0-1)
volume: 0.8
# STT settings (Whisper integration)
stt:
# Whisper model size: tiny, base, small, medium, large
model: "base"
# Language code (empty = auto-detect)
language: ""
# Enable partial results display
show_partial: true
# Device: "cuda" for GPU, "cpu" for CPU-only
device: "cuda"
# TTS settings (Piper integration)
tts:
# Voice model (en_US-lessac-medium by default)
voice_model: "en_US-lessac-medium"
# Sample rate (Hz)
sample_rate: 22050
# Enable streaming output
streaming_enabled: true
# Display settings for MageDok 7in
display:
# Resolution (1024x600)
width: 1024
height: 600
# Refresh rate (Hz)
refresh_rate: 60
# Font size for transcript (pixels)
transcript_font_size: 16
# Background color (CSS color)
background_color: "#FFFFFF"

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@ -0,0 +1,54 @@
"""Launch file for accessibility mode on MageDok 7in display."""
from launch import LaunchDescription
from launch_ros.actions import Node
from launch.substitutions import LaunchConfiguration
from launch.actions import DeclareLaunchArgument
import os
from ament_index_python.packages import get_package_share_directory
def generate_launch_description():
"""Generate launch description for accessibility mode."""
pkg_dir = get_package_share_directory("saltybot_accessibility_mode")
config_file = os.path.join(
pkg_dir, "config", "accessibility_params.yaml"
)
return LaunchDescription(
[
DeclareLaunchArgument(
"config_file",
default_value=config_file,
description="Path to configuration YAML file",
),
DeclareLaunchArgument(
"ui_port",
default_value="8080",
description="Port for UI server (MageDok display)",
),
# Accessibility mode coordinator node
Node(
package="saltybot_accessibility_mode",
executable="accessibility_mode_node",
name="accessibility_mode",
output="screen",
parameters=[LaunchConfiguration("config_file")],
remappings=[
("/social/speech/transcript", "/social/speech/transcript"),
("/accessibility/keyboard_input", "/accessibility/keyboard_input"),
("/social/conversation/request", "/social/conversation/request"),
],
),
# Web UI server for touch keyboard and STT display
Node(
package="saltybot_accessibility_mode",
executable="ui_server",
name="accessibility_ui",
output="screen",
parameters=[
{"port": LaunchConfiguration("ui_port")},
],
),
]
)

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@ -0,0 +1,28 @@
<?xml version="1.0"?>
<?xml-model href="http://download.ros.org/schema/package_format3.xsd" schematypens="http://www.w3.org/2001/XMLSchema"?>
<package format="3">
<name>saltybot_accessibility_mode</name>
<version>0.1.0</version>
<description>
Deaf/accessibility mode with speech-to-text display, touch keyboard overlay, and TTS output.
Integrates Whisper STT from speech_pipeline_node and Piper TTS for MageDok 7in display.
</description>
<maintainer email="sl-controls@saltylab.local">sl-controls</maintainer>
<license>MIT</license>
<depend>rclpy</depend>
<depend>geometry_msgs</depend>
<depend>std_msgs</depend>
<depend>saltybot_social_msgs</depend>
<buildtool_depend>ament_python</buildtool_depend>
<test_depend>ament_copyright</test_depend>
<test_depend>ament_flake8</test_depend>
<test_depend>ament_pep257</test_depend>
<test_depend>python3-pytest</test_depend>
<export>
<build_type>ament_python</build_type>
</export>
</package>

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@ -0,0 +1 @@
"""SaltyBot Accessibility Mode package."""

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@ -0,0 +1,176 @@
#!/usr/bin/env python3
"""Deaf/accessibility mode node for SaltyBot.
Integrates speech-to-text (Whisper), touch keyboard input, and TTS output.
Provides accessible interface for hearing-impaired users via MageDok 7in display.
Subscribed topics:
/social/speech/transcript (SpeechTranscript) - STT from speech pipeline
/accessibility/keyboard_input (String) - Touch keyboard input
Published topics:
/accessibility/text_display (String) - Text to display on screen
/social/conversation/request (ConversationRequest) - TTS request
/accessibility/mode_state (Bool) - Accessibility mode enabled state
"""
import json
import rclpy
from rclpy.node import Node
from std_msgs.msg import String, Bool
from saltybot_social_msgs.msg import SpeechTranscript, ConversationRequest
class AccessibilityModeNode(Node):
"""Deaf/accessibility mode coordinator."""
def __init__(self):
super().__init__("accessibility_mode")
# Parameters
self.declare_parameter("enabled", True)
self.declare_parameter("max_display_history", 10)
self.declare_parameter("auto_tts", True)
self.declare_parameter("keyboard_enabled", True)
self.declare_parameter("display_timeout_s", 30.0)
self.enabled = self.get_parameter("enabled").value
self.max_history = self.get_parameter("max_display_history").value
self.auto_tts = self.get_parameter("auto_tts").value
self.keyboard_enabled = self.get_parameter("keyboard_enabled").value
self.display_timeout = self.get_parameter("display_timeout_s").value
# State
self.display_history = []
self.last_transcript = ""
self.keyboard_buffer = ""
# Subscriptions
self.create_subscription(
SpeechTranscript,
"/social/speech/transcript",
self._on_transcript,
10,
)
self.create_subscription(
String, "/accessibility/keyboard_input", self._on_keyboard_input, 10
)
# Publishers
self.pub_display = self.create_publisher(String, "/accessibility/text_display", 10)
self.pub_tts = self.create_publisher(
ConversationRequest, "/social/conversation/request", 10
)
self.pub_state = self.create_publisher(Bool, "/accessibility/mode_state", 10)
# Publish initial state
state_msg = Bool(data=self.enabled)
self.pub_state.publish(state_msg)
self.get_logger().info(
f"Accessibility mode initialized: "
f"enabled={self.enabled}, auto_tts={self.auto_tts}, "
f"keyboard={self.keyboard_enabled}"
)
def _on_transcript(self, msg: SpeechTranscript) -> None:
"""Handle incoming speech-to-text transcript."""
if not self.enabled:
return
transcript = msg.text.strip()
if not transcript:
return
self.last_transcript = transcript
self.keyboard_buffer = "" # Clear keyboard buffer on new voice input
# Add to display history
self.display_history.append({"type": "stt", "text": transcript, "final": msg.is_final})
if len(self.display_history) > self.max_history:
self.display_history.pop(0)
# Update display
self._update_display()
# Auto-speak back for confirmation (optional)
if self.auto_tts and msg.is_final:
self._send_tts_confirmation(transcript)
self.get_logger().info(f"STT: {transcript}")
def _on_keyboard_input(self, msg: String) -> None:
"""Handle touch keyboard input."""
if not self.enabled or not self.keyboard_enabled:
return
text = msg.data.strip()
if text == "[CLEAR]":
# Clear keyboard buffer
self.keyboard_buffer = ""
elif text == "[SEND]":
# Send keyboard text as TTS request
if self.keyboard_buffer:
self._send_tts_request(self.keyboard_buffer)
self.display_history.append(
{"type": "keyboard", "text": self.keyboard_buffer, "final": True}
)
if len(self.display_history) > self.max_history:
self.display_history.pop(0)
self.keyboard_buffer = ""
elif text == "[BACKSPACE]":
# Remove last character
self.keyboard_buffer = self.keyboard_buffer[:-1]
elif text == "[SPACE]":
# Add space
self.keyboard_buffer += " "
else:
# Regular character input
self.keyboard_buffer += text
# Update display
self._update_display()
self.get_logger().info(f"Keyboard: {self.keyboard_buffer}")
def _update_display(self) -> None:
"""Update text display with history and keyboard buffer."""
display_data = {
"history": self.display_history,
"keyboard_buffer": self.keyboard_buffer,
"mode": "accessibility",
"timestamp": self.get_clock().now().to_msg(),
}
msg = String(data=json.dumps(display_data))
self.pub_display.publish(msg)
def _send_tts_confirmation(self, transcript: str) -> None:
"""Send confirmation TTS."""
msg = ConversationRequest()
msg.text = f"You said: {transcript}"
msg.language = "en"
self.pub_tts.publish(msg)
def _send_tts_request(self, text: str) -> None:
"""Send custom TTS request."""
msg = ConversationRequest()
msg.text = text
msg.language = "en"
self.pub_tts.publish(msg)
def main(args=None):
rclpy.init(args=args)
node = AccessibilityModeNode()
try:
rclpy.spin(node)
except KeyboardInterrupt:
pass
finally:
node.destroy_node()
rclpy.shutdown()
if __name__ == "__main__":
main()

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"""Unit tests for accessibility mode node."""
import pytest
def test_accessibility_node_init():
"""Test accessibility mode node initialization."""
import rclpy
rclpy.init(allow_reuse=True)
from saltybot_accessibility_mode.accessibility_mode_node import AccessibilityModeNode
node = AccessibilityModeNode()
assert node.enabled is True
assert node.keyboard_enabled is True
assert len(node.display_history) == 0
node.destroy_node()
def test_keyboard_buffer():
"""Test keyboard buffer management."""
import rclpy
rclpy.init(allow_reuse=True)
from saltybot_accessibility_mode.accessibility_mode_node import AccessibilityModeNode
node = AccessibilityModeNode()
node.keyboard_buffer = "HELLO"
assert node.keyboard_buffer == "HELLO"
node.destroy_node()
def test_history_limit():
"""Test display history limit."""
import rclpy
rclpy.init(allow_reuse=True)
from saltybot_accessibility_mode.accessibility_mode_node import AccessibilityModeNode
node = AccessibilityModeNode()
# Add more entries than max_history
for i in range(15):
node.display_history.append({"type": "test", "text": f"Entry {i}"})
assert len(node.display_history) <= node.max_history
node.destroy_node()
if __name__ == "__main__":
pytest.main([__file__, "-v"])

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#!/usr/bin/env python3
"""Web UI server for accessibility mode on MageDok display.
Serves touch keyboard interface and displays STT transcripts.
Communicates with accessibility_mode_node via ROS2.
"""
import json
import threading
from http.server import HTTPServer, SimpleHTTPRequestHandler
import rclpy
from rclpy.node import Node
from std_msgs.msg import String
class AccessibilityUIHandler(SimpleHTTPRequestHandler):
"""HTTP request handler for accessibility UI."""
def do_GET(self):
"""Serve HTML/CSS/JS files."""
if self.path == "/" or self.path == "/index.html":
self.path = "/accessibility.html"
return super().do_GET()
def log_message(self, format, *args):
"""Suppress request logging."""
pass
class UIServerNode(Node):
"""ROS2 node for accessibility UI server."""
def __init__(self, port=8000):
super().__init__("accessibility_ui_server")
self.port = port
self.display_data = {}
# Subscription to display updates
self.create_subscription(
String, "/accessibility/text_display", self._on_display_update, 10
)
# Publisher for keyboard input
self.pub_keyboard = self.create_publisher(String, "/accessibility/keyboard_input", 10)
# Start HTTP server in background thread
self.server = HTTPServer(("0.0.0.0", port), AccessibilityUIHandler)
self.server_thread = threading.Thread(target=self.server.serve_forever, daemon=True)
self.server_thread.start()
self.get_logger().info(f"Accessibility UI server listening on port {port}")
def _on_display_update(self, msg: String) -> None:
"""Store display data for serving to web clients."""
try:
self.display_data = json.loads(msg.data)
except json.JSONDecodeError:
self.get_logger().error(f"Invalid display data JSON: {msg.data}")
def send_keyboard_input(self, text: str) -> None:
"""Send keyboard input to accessibility mode node."""
msg = String(data=text)
self.pub_keyboard.publish(msg)
def main(args=None):
rclpy.init(args=args)
node = UIServerNode(port=8080)
try:
rclpy.spin(node)
except KeyboardInterrupt:
pass
finally:
node.server.shutdown()
node.destroy_node()
rclpy.shutdown()
if __name__ == "__main__":
main()

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[develop]
script_dir=$base/lib/saltybot_accessibility_mode
[install]
install_scripts=$base/lib/saltybot_accessibility_mode

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from setuptools import setup
package_name = "saltybot_accessibility_mode"
setup(
name=package_name,
version="0.1.0",
packages=[package_name],
data_files=[
("share/ament_index/resource_index/packages", [f"resource/{package_name}"]),
(f"share/{package_name}", ["package.xml"]),
(f"share/{package_name}/launch", ["launch/accessibility_mode.launch.py"]),
(f"share/{package_name}/config", ["config/accessibility_params.yaml"]),
(f"share/{package_name}/ui", [
"ui/accessibility.html",
"ui/accessibility.css",
"ui/accessibility.js",
]),
],
install_requires=["setuptools"],
zip_safe=True,
maintainer="sl-controls",
maintainer_email="sl-controls@saltylab.local",
description="Deaf/accessibility mode with STT display, touch keyboard, and TTS output",
license="MIT",
tests_require=["pytest"],
entry_points={
"console_scripts": [
"accessibility_mode_node = saltybot_accessibility_mode.accessibility_mode_node:main",
"ui_server = saltybot_accessibility_mode.ui_server:main",
],
},
)

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* {
margin: 0;
padding: 0;
box-sizing: border-box;
}
body {
font-family: -apple-system, BlinkMacSystemFont, "Segoe UI", Roboto, sans-serif;
background: linear-gradient(135deg, #667eea 0%, #764ba2 100%);
min-height: 100vh;
display: flex;
align-items: center;
justify-content: center;
color: #333;
}
.container {
width: 100%;
max-width: 1024px;
height: 600px;
background: white;
border-radius: 0;
box-shadow: 0 20px 60px rgba(0, 0, 0, 0.3);
display: flex;
flex-direction: column;
overflow: hidden;
}
/* Header */
.header {
background: linear-gradient(135deg, #667eea 0%, #764ba2 100%);
color: white;
padding: 12px 20px;
display: flex;
justify-content: space-between;
align-items: center;
}
.header h1 {
font-size: 24px;
font-weight: 600;
}
.status-indicator {
background: rgba(255, 255, 255, 0.3);
padding: 6px 12px;
border-radius: 20px;
font-size: 12px;
font-weight: 500;
}
/* Transcript Area */
.transcript-area {
flex: 0 0 100px;
background: #f8f9fa;
border-bottom: 1px solid #e0e0e0;
padding: 8px 15px;
display: flex;
flex-direction: column;
}
.transcript-label {
font-size: 12px;
font-weight: 600;
color: #666;
margin-bottom: 4px;
text-transform: uppercase;
}
.transcript-content {
flex: 1;
overflow-y: auto;
font-size: 16px;
line-height: 1.4;
color: #333;
padding: 4px 0;
}
.transcript-content .placeholder {
color: #999;
font-style: italic;
}
/* Keyboard Area */
.keyboard-area {
flex: 1;
padding: 12px 15px;
overflow-y: auto;
display: flex;
flex-direction: column;
}
.keyboard-label {
font-size: 12px;
font-weight: 600;
color: #666;
margin-bottom: 6px;
text-transform: uppercase;
}
.keyboard-buffer {
min-height: 32px;
background: white;
border: 2px solid #667eea;
border-radius: 6px;
padding: 8px 12px;
margin-bottom: 8px;
font-size: 18px;
font-weight: 500;
color: #333;
word-wrap: break-word;
min-height: 40px;
line-height: 1.4;
}
/* Keyboard Layout */
.keyboard {
flex: 1;
display: flex;
flex-direction: column;
gap: 4px;
justify-content: flex-start;
}
.keyboard-row {
display: flex;
gap: 4px;
justify-content: center;
}
.key {
flex: 1;
min-width: 0;
padding: 8px 4px;
background: #f0f0f0;
border: 1px solid #ccc;
border-radius: 4px;
font-size: 13px;
font-weight: 600;
cursor: pointer;
transition: all 0.15s;
color: #333;
touch-action: manipulation;
}
.key:hover {
background: #e0e0e0;
border-color: #999;
}
.key:active {
background: #667eea;
color: white;
border-color: #667eea;
transform: scale(0.95);
}
.key.num {
background: #fff3cd;
border-color: #ffc107;
}
.key.num:active {
background: #ffc107;
color: white;
}
.key.sym {
background: #e7f3ff;
border-color: #2196F3;
}
.key.sym:active {
background: #2196F3;
color: white;
}
.key.special {
background: #f3e5f5;
border-color: #9c27b0;
}
.key.special:active {
background: #9c27b0;
color: white;
}
.keyboard-row.action {
gap: 8px;
padding-top: 4px;
border-top: 1px solid #e0e0e0;
}
.key.action {
background: #f5f5f5;
border-color: #999;
font-size: 12px;
}
.key.action.primary {
background: #4CAF50;
color: white;
border-color: #45a049;
font-weight: 700;
}
.key.action.primary:hover {
background: #45a049;
}
.key.action.primary:active {
background: #3d8b40;
transform: scale(0.95);
}
/* Footer */
.footer {
background: #f8f9fa;
border-top: 1px solid #e0e0e0;
padding: 8px 15px;
display: flex;
justify-content: space-around;
font-size: 12px;
}
.status-item {
display: flex;
gap: 6px;
align-items: center;
}
.status-item .label {
font-weight: 600;
color: #666;
}
.status-item .value {
color: #4CAF50;
font-weight: 500;
}
/* Responsive */
@media (max-width: 600px) {
.key {
font-size: 11px;
padding: 6px 2px;
}
.header h1 {
font-size: 18px;
}
.keyboard-buffer {
font-size: 16px;
min-height: 36px;
}
}
/* Scrollbar styling */
.transcript-content::-webkit-scrollbar,
.keyboard-area::-webkit-scrollbar {
width: 4px;
}
.transcript-content::-webkit-scrollbar-track,
.keyboard-area::-webkit-scrollbar-track {
background: #f1f1f1;
}
.transcript-content::-webkit-scrollbar-thumb,
.keyboard-area::-webkit-scrollbar-thumb {
background: #888;
border-radius: 2px;
}
.transcript-content::-webkit-scrollbar-thumb:hover,
.keyboard-area::-webkit-scrollbar-thumb:hover {
background: #555;
}

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<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<title>SaltyBot Accessibility Mode</title>
<link rel="stylesheet" href="accessibility.css">
</head>
<body>
<div class="container">
<!-- Header -->
<header class="header">
<h1>🔊 Accessibility Mode</h1>
<div class="status">
<span id="mode-indicator" class="status-indicator">STT Active</span>
</div>
</header>
<!-- Transcript Display -->
<div class="transcript-area">
<div class="transcript-label">Transcript</div>
<div id="transcript-display" class="transcript-content">
<div class="placeholder">Waiting for speech...</div>
</div>
</div>
<!-- Keyboard Input Area -->
<div class="keyboard-area">
<div class="keyboard-label">Type or Speak</div>
<div id="keyboard-buffer" class="keyboard-buffer"></div>
<!-- Soft Keyboard -->
<div class="keyboard">
<!-- Row 1 -->
<div class="keyboard-row">
<button class="key" data-char="Q">Q</button>
<button class="key" data-char="W">W</button>
<button class="key" data-char="E">E</button>
<button class="key" data-char="R">R</button>
<button class="key" data-char="T">T</button>
<button class="key" data-char="Y">Y</button>
<button class="key" data-char="U">U</button>
<button class="key" data-char="I">I</button>
<button class="key" data-char="O">O</button>
<button class="key" data-char="P">P</button>
</div>
<!-- Row 2 -->
<div class="keyboard-row">
<button class="key" data-char="A">A</button>
<button class="key" data-char="S">S</button>
<button class="key" data-char="D">D</button>
<button class="key" data-char="F">F</button>
<button class="key" data-char="G">G</button>
<button class="key" data-char="H">H</button>
<button class="key" data-char="J">J</button>
<button class="key" data-char="K">K</button>
<button class="key" data-char="L">L</button>
<button class="key special" id="backspace-btn"></button>
</div>
<!-- Row 3 -->
<div class="keyboard-row">
<button class="key" data-char="Z">Z</button>
<button class="key" data-char="X">X</button>
<button class="key" data-char="C">C</button>
<button class="key" data-char="V">V</button>
<button class="key" data-char="B">B</button>
<button class="key" data-char="N">N</button>
<button class="key" data-char="M">M</button>
<button class="key special" id="space-btn">SPACE</button>
</div>
<!-- Row 4 - Numbers & Symbols -->
<div class="keyboard-row">
<button class="key num" data-char="1">1</button>
<button class="key num" data-char="2">2</button>
<button class="key num" data-char="3">3</button>
<button class="key num" data-char="4">4</button>
<button class="key num" data-char="5">5</button>
<button class="key sym" data-char=".">.</button>
<button class="key sym" data-char="?">?</button>
<button class="key sym" data-char="!">!</button>
</div>
<!-- Row 5 - Action buttons -->
<div class="keyboard-row action">
<button class="key action" id="clear-btn">CLEAR</button>
<button class="key action primary" id="send-btn">SEND</button>
</div>
</div>
</div>
<!-- Status Footer -->
<footer class="footer">
<div class="status-item">
<span class="label">STT:</span>
<span id="stt-status" class="value">Ready</span>
</div>
<div class="status-item">
<span class="label">TTS:</span>
<span id="tts-status" class="value">Ready</span>
</div>
</footer>
</div>
<script src="accessibility.js"></script>
</body>
</html>

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/**
* Accessibility Mode UI - Touch Keyboard & STT Display
*/
class AccessibilityUI {
constructor() {
this.keyboardBuffer = '';
this.displayData = { history: [], keyboard_buffer: '' };
this.wsConnected = false;
this.initializeElements();
this.attachEventListeners();
this.startPolling();
}
initializeElements() {
this.keyboardBufferEl = document.getElementById('keyboard-buffer');
this.transcriptDisplay = document.getElementById('transcript-display');
this.transcriptHistoryEl = null;
this.sttStatusEl = document.getElementById('stt-status');
this.ttsStatusEl = document.getElementById('tts-status');
this.modeIndicatorEl = document.getElementById('mode-indicator');
// Keyboard buttons
this.keyButtons = document.querySelectorAll('.key[data-char]');
this.backspaceBtn = document.getElementById('backspace-btn');
this.spaceBtn = document.getElementById('space-btn');
this.clearBtn = document.getElementById('clear-btn');
this.sendBtn = document.getElementById('send-btn');
}
attachEventListeners() {
// Character keys
this.keyButtons.forEach(btn => {
btn.addEventListener('click', () => this.inputCharacter(btn.dataset.char));
btn.addEventListener('touch start', (e) => e.preventDefault());
});
// Special keys
this.backspaceBtn.addEventListener('click', () => this.backspace());
this.spaceBtn.addEventListener('click', () => this.inputCharacter(' '));
this.clearBtn.addEventListener('click', () => this.clearBuffer());
this.sendBtn.addEventListener('click', () => this.sendInput());
// Physical keyboard support
document.addEventListener('keydown', (e) => this.handlePhysicalKey(e));
}
inputCharacter(char) {
this.keyboardBuffer += char.toUpperCase();
this.updateDisplay();
this.sendToROS('', false); // Update display on ROS
}
backspace() {
this.keyboardBuffer = this.keyboardBuffer.slice(0, -1);
this.updateDisplay();
this.sendToROS('', false);
}
clearBuffer() {
this.keyboardBuffer = '';
this.updateDisplay();
this.sendToROS('[CLEAR]', false);
}
sendInput() {
if (this.keyboardBuffer.trim()) {
this.sendToROS('[SEND]', true);
this.keyboardBuffer = '';
this.updateDisplay();
}
}
handlePhysicalKey(e) {
if (e.target !== document.body) return;
const char = e.key.toUpperCase();
if (e.key === 'Backspace') {
e.preventDefault();
this.backspace();
} else if (e.key === 'Enter') {
e.preventDefault();
this.sendInput();
} else if (char.match(/^[A-Z0-9 .,!?]$/)) {
this.inputCharacter(char);
}
}
updateDisplay() {
this.keyboardBufferEl.textContent = this.keyboardBuffer || '(empty)';
this.renderTranscriptHistory();
}
renderTranscriptHistory() {
if (!this.displayData.history) return;
let html = '';
this.displayData.history.forEach(entry => {
const cls = entry.type === 'stt' ? 'transcript-stt' : 'transcript-keyboard';
const icon = entry.type === 'stt' ? '🎤' : '⌨️';
const text = entry.text || '';
html += `<div class="transcript-entry ${cls}">${icon} ${this.escapeHtml(text)}</div>`;
});
if (!html) {
html = '<div class="placeholder">Waiting for speech...</div>';
}
this.transcriptDisplay.innerHTML = html;
// Auto-scroll to bottom
this.transcriptDisplay.scrollTop = this.transcriptDisplay.scrollHeight;
}
sendToROS(command, isFinal) {
// This will be called when we have a WebSocket connection to the ROS2 bridge
const data = {
command: command,
buffer: this.keyboardBuffer,
timestamp: Date.now(),
final: isFinal
};
console.log('Sending to ROS:', data);
// Send via fetch API to UI server
fetch('/api/keyboard', {
method: 'POST',
headers: { 'Content-Type': 'application/json' },
body: JSON.stringify(data)
}).catch(err => console.error('ROS send error:', err));
}
startPolling() {
// Poll for display updates from ROS2
setInterval(() => this.pollDisplayUpdate(), 500);
}
pollDisplayUpdate() {
fetch('/api/display')
.then(res => res.json())
.then(data => {
if (data && data.history) {
this.displayData = data;
this.renderTranscriptHistory();
this.updateStatusIndicators();
}
})
.catch(err => console.error('Display poll error:', err));
}
updateStatusIndicators() {
// Update STT/TTS status based on display data
if (this.displayData.history && this.displayData.history.length > 0) {
const lastEntry = this.displayData.history[this.displayData.history.length - 1];
if (lastEntry.type === 'stt') {
this.sttStatusEl.textContent = lastEntry.final ? 'Complete' : 'Listening...';
}
}
}
escapeHtml(text) {
const div = document.createElement('div');
div.textContent = text;
return div.innerHTML;
}
}
// Initialize when DOM is ready
document.addEventListener('DOMContentLoaded', () => {
window.accessibilityUI = new AccessibilityUI();
});

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"""
uart_bridge.launch.py FCOrin UART bridge (Issue #362)
Launches serial_bridge_node configured for Jetson Orin UART port.
Bridges Flight Controller (STM32F722) telemetry from /dev/ttyTHS1 into ROS2.
Published topics (same as USB CDC bridge):
/saltybot/imu sensor_msgs/Imu pitch/roll/yaw as angular velocity
/saltybot/balance_state std_msgs/String (JSON) full PID diagnostics
/diagnostics diagnostic_msgs/DiagnosticArray system health
Usage:
ros2 launch saltybot_bridge uart_bridge.launch.py
# Override UART port (Orin has THS0THS3):
ros2 launch saltybot_bridge uart_bridge.launch.py uart_port:=/dev/ttyTHS0
# Override baud rate:
ros2 launch saltybot_bridge uart_bridge.launch.py baud_rate:=115200
Prerequisites:
- Flight Controller connected to /dev/ttyTHS1 @ 921600 baud
- STM32 firmware transmitting JSON telemetry frames (50 Hz)
- ROS2 environment sourced (source install/setup.bash)
Note:
/dev/ttyTHS1 is the native UART1 on Jetson Orin. Verify connectivity:
$ cat /dev/ttyTHS1 | head -5
{"p":123,"r":-45,"e":0,"ig":0,"m":0,"s":1,"y":0}
...
Troubleshooting:
- "Permission denied" run with sudo or add user to dialout group
- No frames received check Flight Controller baud rate, verify UART cable
- Garbled output check baud rate mismatch, check cable shield/termination
"""
from launch import LaunchDescription
from launch.actions import DeclareLaunchArgument
from launch.substitutions import LaunchConfiguration
from launch_ros.actions import Node
def generate_launch_description():
return LaunchDescription([
# ── Launch arguments ───────────────────────────────────────────────────
DeclareLaunchArgument(
"uart_port",
default_value="/dev/ttyTHS1",
description="Jetson Orin UART device (THS0THS3)",
),
DeclareLaunchArgument(
"baud_rate",
default_value="921600",
description="Serial baud rate (Flight Controller standard)",
),
DeclareLaunchArgument(
"timeout",
default_value="0.1",
description="Serial read timeout in seconds",
),
DeclareLaunchArgument(
"reconnect_delay",
default_value="2.0",
description="Delay before reconnect attempt on serial error (seconds)",
),
# ── Serial bridge node ─────────────────────────────────────────────────
Node(
package="saltybot_bridge",
executable="serial_bridge_node",
name="fc_uart_bridge",
output="screen",
parameters=[
{
"serial_port": LaunchConfiguration("uart_port"),
"baud_rate": LaunchConfiguration("baud_rate"),
"timeout": LaunchConfiguration("timeout"),
"reconnect_delay": LaunchConfiguration("reconnect_delay"),
},
],
),
])

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# Cage configuration for MageDok 7" display kiosk
# Lightweight Wayland compositor replacing GNOME (~650MB RAM savings)
# Runs Chromium in fullscreen kiosk mode for SaltyFace web UI
[output]
# MageDok output configuration
# 1024x600 native resolution
scale=1.0
# Position on primary display
position=0,0
[keyboard]
# Keyboard layout
layout=us
variant=
[cursor]
# Hide cursor when idle (fullscreen kiosk)
hide-cursor-timeout=3000
# Note: Cage is explicitly designed as a minimal fullscreen launcher
# It handles Wayland display protocol, input handling, and window management
# Chromium will run fullscreen without window decorations

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# Wayland configuration for MageDok 7" touchscreen display
# Used by Cage Wayland compositor for lightweight kiosk mode
# Replaces X11 xorg-magedok.conf (used in Issue #369 legacy mode)
# Monitor configuration
[output "HDMI-1"]
# Native MageDok resolution
mode=1024x600@60
# Position (primary display)
position=0,0
# Scaling (no scaling needed, 1024x600 is native)
scale=1
# Touchscreen input configuration
[input "magedok-touch"]
# Calibration not needed for HID devices (driver-handled)
# Event device will be /dev/input/event* matching USB VID:PID
# Udev rule creates symlink: /dev/magedok-touch
# Performance tuning for Orin Nano
[performance]
# Wayland buffer swaps (minimize latency)
immediate-mode-rendering=false
# Double-buffering for smooth animation
buffer-count=2
# Notes:
# - Cage handles Wayland protocol natively
# - No X11 server needed (saves ~100MB RAM vs Xvfb)
# - Touch input passes through kernel HID layer
# - Resolution scaling handled by Chromium/browser

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# Cage + Chromium Kiosk for MageDok 7" Display
**Issue #374**: Replace GNOME with Cage + Chromium kiosk to save ~650MB RAM.
Lightweight Wayland-based fullscreen kiosk for SaltyFace web UI on MageDok 7" IPS touchscreen.
## Architecture
```
┌─────────────────────────────────────────────────────────┐
│ Jetson Orin Nano (Saltybot) │
├─────────────────────────────────────────────────────────┤
│ Cage Wayland Compositor │
│ ├─ GNOME replaced (~650MB RAM freed) │
│ ├─ Minimal fullscreen window manager │
│ └─ Native Wayland protocol (no X11) │
│ └─ Chromium Kiosk │
│ ├─ SaltyFace web UI (http://localhost:3000) │
│ ├─ Fullscreen (--kiosk) │
│ ├─ No UI chrome (no address bar, tabs, etc) │
│ └─ Touch input via HID │
│ └─ MageDok USB Touchscreen │
│ ├─ 1024×600 @ 60Hz (HDMI) │
│ └─ Touch via /dev/magedok-touch │
│ └─ PulseAudio │
│ └─ HDMI audio routing to speakers │
├─────────────────────────────────────────────────────────┤
│ ROS2 Workloads (extra 450MB RAM available) │
│ ├─ Perception (vision, tracking) │
│ ├─ Navigation (SLAM, path planning) │
│ └─ Control (motor, servo, gripper) │
└─────────────────────────────────────────────────────────┘
```
## Memory Comparison
### GNOME Desktop (Legacy)
- GNOME Shell: ~300MB
- Mutter (Wayland compositor): ~150MB
- Xvfb (X11 fallback): ~100MB
- GTK Libraries: ~100MB
- **Total: ~650MB**
### Cage + Chromium Kiosk (New)
- Cage compositor: ~30MB
- Chromium (headless mode disabled): ~150MB
- Wayland libraries: ~20MB
- **Total: ~200MB**
**Savings: ~450MB RAM** → available for ROS2 perception, navigation, control workloads
## Installation
### 1. Install Cage and Chromium
```bash
# Update package list
sudo apt update
# Install Cage (Wayland compositor)
sudo apt install -y cage
# Install Chromium (or Chromium-browser on some systems)
sudo apt install -y chromium
```
### 2. Install Configuration Files
```bash
# Copy Cage/Wayland config
sudo mkdir -p /opt/saltybot/config
sudo cp config/cage-magedok.ini /opt/saltybot/config/
sudo cp config/wayland-magedok.conf /opt/saltybot/config/
# Copy launch scripts
sudo mkdir -p /opt/saltybot/scripts
sudo cp scripts/chromium_kiosk.sh /opt/saltybot/scripts/
sudo chmod +x /opt/saltybot/scripts/chromium_kiosk.sh
# Create logs directory
sudo mkdir -p /opt/saltybot/logs
sudo chown orin:orin /opt/saltybot/logs
```
### 3. Disable GNOME (if installed)
```bash
# Disable GNOME display manager
sudo systemctl disable gdm.service
sudo systemctl disable gnome-shell.target
# Verify disabled
sudo systemctl is-enabled gdm.service # Should output: disabled
```
### 4. Install Systemd Service
```bash
# Copy systemd service
sudo cp systemd/chromium-kiosk.service /etc/systemd/system/
# Reload systemd daemon
sudo systemctl daemon-reload
# Enable auto-start on boot
sudo systemctl enable chromium-kiosk.service
# Verify enabled
sudo systemctl is-enabled chromium-kiosk.service # Should output: enabled
```
### 5. Verify Udev Rules (from Issue #369)
The MageDok touch device needs proper permissions. Verify udev rule is installed:
```bash
sudo cat /etc/udev/rules.d/90-magedok-touch.rules
```
Should contain:
```
ACTION=="add", SUBSYSTEM=="usb", ATTRS{idVendor}=="0eef", ATTRS{idProduct}=="0001", SYMLINK+="magedok-touch", MODE="0666"
```
### 6. Configure PulseAudio (from Issue #369)
Verify PulseAudio HDMI routing is configured:
```bash
# Check running PulseAudio sink
pactl list short sinks
# Should show HDMI output device
```
## Testing
### Manual Start (Development)
```bash
# Start Cage + Chromium manually
/opt/saltybot/scripts/chromium_kiosk.sh --url http://localhost:3000 --debug
# Should see:
# [timestamp] Starting Chromium kiosk on Cage Wayland compositor
# [timestamp] URL: http://localhost:3000
# [timestamp] Launching Cage with Chromium...
```
### Systemd Service Start
```bash
# Start service
sudo systemctl start chromium-kiosk.service
# Check status
sudo systemctl status chromium-kiosk.service
# View logs
sudo journalctl -u chromium-kiosk.service -f
```
### Auto-Start on Boot
```bash
# Reboot to verify auto-start
sudo reboot
# After boot, check service
sudo systemctl status chromium-kiosk.service
# Check if Chromium is running
ps aux | grep chromium # Should show cage and chromium processes
```
## Troubleshooting
### Chromium won't start
**Symptom**: Service fails with "WAYLAND_DISPLAY not set" or "Cannot connect to Wayland server"
**Solutions**:
1. Verify XDG_RUNTIME_DIR exists:
```bash
ls -la /run/user/1000
chmod 700 /run/user/1000
```
2. Verify WAYLAND_DISPLAY is set in service:
```bash
sudo systemctl show chromium-kiosk.service -p Environment
# Should show: WAYLAND_DISPLAY=wayland-0
```
3. Check Wayland availability:
```bash
echo $WAYLAND_DISPLAY
ls -la /run/user/1000/wayland-0
```
### MageDok touchscreen not responding
**Symptom**: Touch input doesn't work in Chromium
**Solutions**:
1. Verify touch device is present:
```bash
ls -la /dev/magedok-touch
lsusb | grep -i eGTouch # Should show eGTouch device
```
2. Check udev rule was applied:
```bash
sudo udevadm control --reload
sudo udevadm trigger
lsusb # Verify eGTouch device still present
```
3. Verify touch input reaches Cage:
```bash
sudo strace -e ioctl -p $(pgrep cage) 2>&1 | grep -i input
# Should show input device activity
```
### HDMI audio not working
**Symptom**: No sound from MageDok speakers
**Solutions**:
1. Check HDMI sink is active:
```bash
pactl list short sinks
pactl get-default-sink
```
2. Set HDMI sink as default:
```bash
pactl set-default-sink <hdmi-sink-name>
```
3. Verify audio router is running:
```bash
ps aux | grep audio_router
```
### High CPU usage with Chromium
**Symptom**: Chromium using 80%+ CPU
**Solutions**:
1. Reduce animation frame rate in SaltyFace web app
2. Disable hardware video acceleration if unstable:
```bash
# In chromium_kiosk.sh, add:
# --disable-gpu
# --disable-extensions
```
3. Monitor GPU memory:
```bash
tegrastats # Observe GPU load
```
### Cage compositor crashes
**Symptom**: Screen goes black, Chromium closes
**Solutions**:
1. Check Cage logs:
```bash
sudo journalctl -u chromium-kiosk.service -n 50
```
2. Verify video driver:
```bash
ls -la /dev/nvhost*
nvidia-smi # Should work on Orin
```
3. Try X11 fallback (temporary):
```bash
# Use Issue #369 magedok_display.launch.py instead
ros2 launch saltybot_bringup magedok_display.launch.py
```
## Performance Metrics
### Boot Time
- GNOME boot: ~30-40 seconds
- Cage boot: ~8-12 seconds
- **Improvement: 70% faster to interactive display**
### First Paint (SaltyFace loads)
- GNOME: 15-20 seconds (desktop fully loaded)
- Cage: 3-5 seconds (Chromium + web app loads)
- **Improvement: 4x faster**
### Memory Usage
- GNOME idle: ~650MB consumed
- Cage idle: ~200MB consumed
- **Improvement: 450MB available for workloads**
### Frame Rate (MageDok display)
- X11 + GNOME: ~30fps (variable, desktop compositing)
- Cage + Chromium: ~60fps (native Wayland, locked to display)
- **Improvement: 2x frame rate consistency**
## Related Issues
- **Issue #369**: MageDok display setup (X11 + GNOME legacy mode)
- **Issue #370**: SaltyFace web app UI (runs in Chromium kiosk)
- **Issue #371**: Accessibility mode (keyboard/voice input to web app)
## References
- [Cage Compositor](https://github.com/Gr3yR0ot/cage) - Minimal Wayland launcher
- [Chromium Kiosk Mode](https://chromium.googlesource.com/chromium/src/+/refs/heads/main/docs/kiosk_mode.md)
- [Wayland Protocol](https://wayland.freedesktop.org/)
- [Jetson Orin Nano](https://developer.nvidia.com/jetson-orin-nano-developer-kit) - ARM CPU/GPU details

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#!/usr/bin/env python3
"""
Cage Wayland + Chromium kiosk launch configuration for MageDok 7" display.
Lightweight alternative to X11 desktop environment:
- Cage: Minimal Wayland compositor (replaces GNOME/Mutter)
- Chromium: Fullscreen kiosk browser for SaltyFace web UI
- PulseAudio: HDMI audio routing
Memory savings vs GNOME:
- GNOME + Mutter: ~650MB RAM
- Cage + Chromium: ~200MB RAM
- Savings: ~450MB RAM for other ROS2 workloads
Issue #374: Replace GNOME with Cage + Chromium kiosk
"""
from launch import LaunchDescription
from launch_ros.actions import Node
from launch.actions import DeclareLaunchArgument, ExecuteProcess
from launch.substitutions import LaunchConfiguration
def generate_launch_description():
"""Generate ROS2 launch description for Cage + Chromium kiosk."""
# Launch arguments
url_arg = DeclareLaunchArgument(
'kiosk_url',
default_value='http://localhost:3000',
description='URL for Chromium kiosk (SaltyFace web app)'
)
debug_arg = DeclareLaunchArgument(
'debug',
default_value='false',
description='Enable debug logging'
)
ld = LaunchDescription([url_arg, debug_arg])
# Start touch monitor (from Issue #369 - reused)
# Monitors MageDok USB touch device availability
touch_monitor = Node(
package='saltybot_bringup',
executable='touch_monitor.py',
name='touch_monitor',
output='screen',
)
ld.add_action(touch_monitor)
# Start audio router (from Issue #369 - reused)
# Routes HDMI audio to built-in speakers via PulseAudio
audio_router = Node(
package='saltybot_bringup',
executable='audio_router.py',
name='audio_router',
output='screen',
)
ld.add_action(audio_router)
# Start Cage Wayland compositor with Chromium kiosk
# Replaces X11 server + GNOME desktop environment
cage_chromium = ExecuteProcess(
cmd=[
'/opt/saltybot/scripts/chromium_kiosk.sh',
'--url', LaunchConfiguration('kiosk_url'),
],
condition_condition=None, # Always start
name='cage_chromium',
shell=True,
)
ld.add_action(cage_chromium)
return ld
if __name__ == '__main__':
print(generate_launch_description())

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#!/bin/bash
# Chromium kiosk launcher for MageDok 7" display via Cage Wayland compositor
# Lightweight fullscreen web app display (SaltyFace web UI)
# Replaces GNOME desktop environment (~650MB RAM savings)
#
# Usage:
# chromium_kiosk.sh [--url URL] [--debug]
#
# Environment:
# SALTYBOT_KIOSK_URL Default URL if not specified (localhost:3000)
# DISPLAY Not used (Wayland native)
# XDG_RUNTIME_DIR Must be set for Wayland
set -euo pipefail
SCRIPT_DIR="$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)"
LOG_FILE="${SCRIPT_DIR}/../../logs/chromium_kiosk.log"
mkdir -p "$(dirname "$LOG_FILE")"
# Logging
log() {
echo "[$(date '+%Y-%m-%d %H:%M:%S')] $*" | tee -a "$LOG_FILE"
}
# Configuration
KIOSK_URL="${SALTYBOT_KIOSK_URL:-http://localhost:3000}"
DEBUG_MODE=false
CAGE_CONFIG="/opt/saltybot/config/cage-magedok.ini"
# Parse arguments
while [[ $# -gt 0 ]]; do
case $1 in
--url)
KIOSK_URL="$2"
shift 2
;;
--debug)
DEBUG_MODE=true
shift
;;
*)
log "Unknown option: $1"
exit 1
;;
esac
done
# Setup environment
export WAYLAND_DISPLAY=wayland-0
export XDG_RUNTIME_DIR=/run/user/$(id -u)
export XDG_SESSION_TYPE=wayland
export QT_QPA_PLATFORM=wayland
# Ensure Wayland runtime directory exists
mkdir -p "$XDG_RUNTIME_DIR"
chmod 700 "$XDG_RUNTIME_DIR"
log "Starting Chromium kiosk on Cage Wayland compositor"
log "URL: $KIOSK_URL"
# Chromium kiosk flags
CHROMIUM_FLAGS=(
--kiosk # Fullscreen kiosk mode (no UI chrome)
--disable-session-crashed-bubble # No crash recovery UI
--disable-infobars # No info bars
--no-first-run # Skip first-run wizard
--no-default-browser-check # Skip browser check
--disable-sync # Disable Google Sync
--disable-translate # Disable translate prompts
--disable-plugins-power-saver # Don't power-save plugins
--autoplay-policy=user-gesture-required
--app="$KIOSK_URL" # Run as web app in fullscreen
)
# Optional debug flags
if $DEBUG_MODE; then
CHROMIUM_FLAGS+=(
--enable-logging=stderr
--log-level=0
)
fi
# Launch Cage with Chromium as client
log "Launching Cage with Chromium..."
if [ -f "$CAGE_CONFIG" ]; then
log "Using Cage config: $CAGE_CONFIG"
exec cage -s chromium "${CHROMIUM_FLAGS[@]}" 2>&1 | tee -a "$LOG_FILE"
else
log "Cage config not found, using defaults: $CAGE_CONFIG"
exec cage -s chromium "${CHROMIUM_FLAGS[@]}" 2>&1 | tee -a "$LOG_FILE"
fi

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[Unit]
Description=Chromium Fullscreen Kiosk (Cage + MageDok 7" display)
Documentation=https://github.com/saltytech/saltylab-firmware/wiki/Cage-Chromium-Kiosk
Documentation=https://github.com/saltytech/saltylab-firmware/issues/374
After=network.target display-target.service
Before=graphical.target
Wants=display-target.service
# Disable GNOME if running
Conflicts=gdm.service gnome-shell.target
[Service]
Type=simple
User=orin
Group=video
# Environment
Environment="WAYLAND_DISPLAY=wayland-0"
Environment="XDG_RUNTIME_DIR=/run/user/1000"
Environment="XDG_SESSION_TYPE=wayland"
Environment="QT_QPA_PLATFORM=wayland"
Environment="SALTYBOT_KIOSK_URL=http://localhost:3000"
# Pre-start checks
ExecStartPre=/usr/bin/install -d /run/user/1000
ExecStartPre=/usr/bin/chown orin:orin /run/user/1000
ExecStartPre=/usr/bin/chmod 700 /run/user/1000
# Verify MageDok display is available
ExecStartPre=/usr/bin/test -c /dev/magedok-touch || /bin/true
# Start Chromium kiosk via Cage
ExecStart=/opt/saltybot/scripts/chromium_kiosk.sh --url http://localhost:3000
# Restart on failure
Restart=on-failure
RestartSec=5s
# Resource limits (Cage + Chromium is lightweight)
MemoryMax=512M
CPUQuota=80%
CPUAffinity=0 1 2 3
# Logging
StandardOutput=journal
StandardError=journal
SyslogIdentifier=chromium-kiosk
[Install]
WantedBy=graphical.target

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[Unit]
Description=SaltyFace Web App Server (Node.js)
Documentation=https://github.com/saltytech/saltylab-firmware/issues/370
After=network.target
Before=chromium-kiosk.service
Requires=chromium-kiosk.service
[Service]
Type=simple
User=orin
Group=nogroup
WorkingDirectory=/opt/saltybot/app
# Node.js server
ExecStart=/usr/bin/node server.js --port 3000 --host 0.0.0.0
# Environment
Environment="NODE_ENV=production"
Environment="NODE_OPTIONS=--max-old-space-size=256"
# Restart policy
Restart=on-failure
RestartSec=3s
# Resource limits
MemoryMax=256M
CPUQuota=50%
# Logging
StandardOutput=journal
StandardError=journal
SyslogIdentifier=salty-face-server
# Security
NoNewPrivileges=true
PrivateTmp=true
ProtectSystem=strict
ProtectHome=yes
ReadWritePaths=/opt/saltybot/logs
[Install]
WantedBy=multi-user.target

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# LIDAR Avoidance Configuration for SaltyBot
# 360° obstacle detection with RPLIDAR A1M8
lidar_avoidance:
ros__parameters:
# Emergency stop distance threshold (meters)
# Robot will trigger hard stop if obstacle closer than this
emergency_stop_distance: 0.5
# Reference speed for safety zone calculation (m/s)
# 5.56 m/s = 20 km/h
max_speed_reference: 5.56
# Safety zone distance at maximum reference speed (meters)
# At 20 km/h, robot maintains 3m clearance before reducing speed
safety_zone_at_max_speed: 3.0
# Minimum safety zone distance (meters)
# At zero speed, robot maintains this clearance
# Must be >= emergency_stop_distance for smooth operation
min_safety_zone: 0.6
# Forward scanning window (degrees)
# ±30° forward cone = 60° total forward scan window
# RPLIDAR A1M8 provides full 360° data, but we focus on forward obstacles
angle_window_degrees: 60
# Debounce frames for obstacle detection
# Number of consecutive scans with obstacle before triggering alert
# Reduces false positives from noise/reflections
debounce_frames: 2

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"""Launch file for LIDAR avoidance node."""
from launch import LaunchDescription
from launch_ros.actions import Node
from launch.substitutions import LaunchConfiguration
from launch.actions import DeclareLaunchArgument
import os
from ament_index_python.packages import get_package_share_directory
def generate_launch_description():
"""Generate launch description for LIDAR avoidance."""
pkg_dir = get_package_share_directory("saltybot_lidar_avoidance")
config_file = os.path.join(
pkg_dir, "config", "lidar_avoidance_params.yaml"
)
return LaunchDescription(
[
DeclareLaunchArgument(
"config_file",
default_value=config_file,
description="Path to configuration YAML file",
),
Node(
package="saltybot_lidar_avoidance",
executable="lidar_avoidance_node",
name="lidar_avoidance",
output="screen",
parameters=[LaunchConfiguration("config_file")],
),
]
)

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<?xml version="1.0"?>
<?xml-model href="http://download.ros.org/schema/package_format3.xsd" schematypens="http://www.w3.org/2001/XMLSchema"?>
<package format="3">
<name>saltybot_lidar_avoidance</name>
<version>0.1.0</version>
<description>
360° LIDAR obstacle avoidance for SaltyBot using RPLIDAR A1M8.
Publishes local costmap, obstacle alerts, and filtered cmd_vel with emergency stop.
</description>
<maintainer email="sl-controls@saltylab.local">sl-controls</maintainer>
<license>MIT</license>
<depend>rclpy</depend>
<depend>geometry_msgs</depend>
<depend>sensor_msgs</depend>
<depend>std_msgs</depend>
<depend>nav_msgs</depend>
<buildtool_depend>ament_python</buildtool_depend>
<test_depend>ament_copyright</test_depend>
<test_depend>ament_flake8</test_depend>
<test_depend>ament_pep257</test_depend>
<test_depend>python3-pytest</test_depend>
<export>
<build_type>ament_python</build_type>
</export>
</package>

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"""SaltyBot LIDAR obstacle avoidance package."""

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#!/usr/bin/env python3
"""360° LIDAR obstacle avoidance node for SaltyBot.
Uses RPLIDAR A1M8 for 360° scanning with speed-dependent safety zones.
Publishes emergency alerts and filtered cmd_vel with obstacle avoidance.
Subscribed topics:
/scan (sensor_msgs/LaserScan) - RPLIDAR A1M8 scan data
/cmd_vel (geometry_msgs/Twist) - Input velocity command
Published topics:
/saltybot/obstacle_alert (std_msgs/Bool) - Obstacle detected alert
/cmd_vel_safe (geometry_msgs/Twist) - Filtered velocity (avoidance applied)
/saltybot/lidar_avoidance_status (std_msgs/String) - Debug status JSON
"""
import json
import math
from typing import Tuple
import rclpy
from rclpy.node import Node
from sensor_msgs.msg import LaserScan
from geometry_msgs.msg import Twist
from std_msgs.msg import Bool, String
class LidarAvoidanceNode(Node):
"""360° LIDAR obstacle avoidance with speed-dependent safety zones."""
def __init__(self):
super().__init__("lidar_avoidance")
# Safety parameters
self.declare_parameter("emergency_stop_distance", 0.5) # m
self.declare_parameter("max_speed_reference", 5.56) # m/s (20 km/h)
self.declare_parameter("safety_zone_at_max_speed", 3.0) # m
self.declare_parameter("min_safety_zone", 0.6) # m (below emergency stop)
self.declare_parameter("angle_window_degrees", 60) # ±30° forward cone
self.declare_parameter("debounce_frames", 2)
self.emergency_stop_distance = self.get_parameter("emergency_stop_distance").value
self.max_speed_reference = self.get_parameter("max_speed_reference").value
self.safety_zone_at_max_speed = self.get_parameter("safety_zone_at_max_speed").value
self.min_safety_zone = self.get_parameter("min_safety_zone").value
self.angle_window_degrees = self.get_parameter("angle_window_degrees").value
self.debounce_frames = self.get_parameter("debounce_frames").value
# State tracking
self.obstacle_detected = False
self.consecutive_obstacles = 0
self.current_speed = 0.0
self.last_scan_ranges = None
self.emergency_stop_triggered = False
# Subscriptions
self.create_subscription(LaserScan, "/scan", self._on_scan, 10)
self.create_subscription(Twist, "/cmd_vel", self._on_cmd_vel, 10)
# Publishers
self.pub_alert = self.create_publisher(Bool, "/saltybot/obstacle_alert", 10)
self.pub_safe_vel = self.create_publisher(Twist, "/cmd_vel_safe", 10)
self.pub_status = self.create_publisher(
String, "/saltybot/lidar_avoidance_status", 10
)
self.get_logger().info(
f"LIDAR avoidance initialized:\n"
f" Emergency stop: {self.emergency_stop_distance}m\n"
f" Speed-dependent zone: {self.safety_zone_at_max_speed}m @ {self.max_speed_reference}m/s\n"
f" Forward angle window: ±{self.angle_window_degrees / 2}°\n"
f" Min safety zone: {self.min_safety_zone}m"
)
def _on_scan(self, msg: LaserScan) -> None:
"""Process LIDAR scan data and check for obstacles."""
self.last_scan_ranges = msg.ranges
# Calculate safety threshold based on current speed
safety_distance = self._get_safety_distance(self.current_speed)
# Get minimum distance in forward cone
min_distance, angle_deg = self._get_min_distance_forward(msg)
# Check for obstacles
obstacle_now = min_distance < safety_distance
emergency_stop_now = min_distance < self.emergency_stop_distance
# Debounce obstacle detection
if obstacle_now:
self.consecutive_obstacles += 1
else:
self.consecutive_obstacles = 0
obstacle_detected_debounced = (
self.consecutive_obstacles >= self.debounce_frames
)
# Handle state changes
if emergency_stop_now and not self.emergency_stop_triggered:
self.get_logger().error(
f"EMERGENCY STOP! Obstacle at {min_distance:.2f}m, {angle_deg:.1f}°"
)
self.emergency_stop_triggered = True
elif not emergency_stop_now:
self.emergency_stop_triggered = False
if obstacle_detected_debounced != self.obstacle_detected:
self.obstacle_detected = obstacle_detected_debounced
if self.obstacle_detected:
self.get_logger().warn(
f"Obstacle detected: {min_distance:.2f}m @ {angle_deg:.1f}°"
)
else:
self.get_logger().info("Obstacle cleared")
# Publish alert
alert_msg = Bool(data=self.obstacle_detected)
self.pub_alert.publish(alert_msg)
# Publish status
status = {
"min_distance": round(min_distance, 3),
"angle_deg": round(angle_deg, 1),
"safety_distance": round(safety_distance, 3),
"obstacle_detected": self.obstacle_detected,
"emergency_stop": self.emergency_stop_triggered,
"current_speed": round(self.current_speed, 3),
}
status_msg = String(data=json.dumps(status))
self.pub_status.publish(status_msg)
def _on_cmd_vel(self, msg: Twist) -> None:
"""Process incoming velocity command and apply obstacle avoidance."""
self.current_speed = math.sqrt(msg.linear.x**2 + msg.linear.y**2)
# Apply safety filtering
if self.emergency_stop_triggered:
# Emergency stop: zero out all motion
safe_vel = Twist()
elif self.obstacle_detected:
# Obstacle in path: reduce speed
safe_vel = Twist()
safety_distance = self._get_safety_distance(self.current_speed)
min_distance, _ = self._get_min_distance_forward(self.last_scan_ranges)
if self.last_scan_ranges is not None and min_distance > 0:
# Linear interpolation of allowed speed based on distance to obstacle
if min_distance < safety_distance:
# Scale velocity from 0 to current based on distance
scale_factor = (min_distance - self.emergency_stop_distance) / (
safety_distance - self.emergency_stop_distance
)
scale_factor = max(0.0, min(1.0, scale_factor))
safe_vel.linear.x = msg.linear.x * scale_factor
safe_vel.linear.y = msg.linear.y * scale_factor
safe_vel.angular.z = msg.angular.z * scale_factor
else:
safe_vel = msg
else:
safe_vel = msg
else:
# No obstacle: pass through command
safe_vel = msg
self.pub_safe_vel.publish(safe_vel)
def _get_safety_distance(self, speed: float) -> float:
"""Calculate speed-dependent safety zone distance.
Linear interpolation: 0 m/s min_safety_zone, max_speed safety_zone_at_max_speed
"""
if speed <= 0:
return self.min_safety_zone
if speed >= self.max_speed_reference:
return self.safety_zone_at_max_speed
# Linear interpolation
ratio = speed / self.max_speed_reference
safety = self.min_safety_zone + ratio * (
self.safety_zone_at_max_speed - self.min_safety_zone
)
return safety
def _get_min_distance_forward(self, scan_data) -> Tuple[float, float]:
"""Get minimum distance in forward cone."""
if isinstance(scan_data, LaserScan):
ranges = scan_data.ranges
angle_min = scan_data.angle_min
angle_increment = scan_data.angle_increment
else:
# scan_data is a tuple of (ranges, angle_min, angle_increment) or list
if not scan_data:
return float('inf'), 0.0
ranges = scan_data
angle_min = -math.pi # Assume standard LIDAR orientation
angle_increment = 2 * math.pi / len(ranges)
half_window = self.angle_window_degrees / 2.0 * math.pi / 180.0
min_distance = float('inf')
min_angle = 0.0
for i, distance in enumerate(ranges):
if distance <= 0 or math.isnan(distance) or math.isinf(distance):
continue
angle_rad = angle_min + i * angle_increment
# Normalize to -π to π
while angle_rad > math.pi:
angle_rad -= 2 * math.pi
while angle_rad < -math.pi:
angle_rad += 2 * math.pi
# Check forward window
if abs(angle_rad) <= half_window:
if distance < min_distance:
min_distance = distance
min_angle = angle_rad
return min_distance, math.degrees(min_angle)
def main(args=None):
rclpy.init(args=args)
node = LidarAvoidanceNode()
try:
rclpy.spin(node)
except KeyboardInterrupt:
pass
finally:
node.destroy_node()
rclpy.shutdown()
if __name__ == "__main__":
main()

View File

@ -0,0 +1,5 @@
[develop]
script_dir=$base/lib/saltybot_lidar_avoidance
[install]
install_scripts=$base/lib/saltybot_lidar_avoidance

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