sl-controls fda6ab99ff feat(arch): align CAN/UART bridges with SAUL-TEE-SYSTEM-REFERENCE.md spec
Update CAN and serial bridge code to match authoritative protocol spec
from docs/SAUL-TEE-SYSTEM-REFERENCE.md §5-6 (hal, 2026-04-04).

mamba_protocol.py (CAN, Orin ↔ ESP32 BALANCE):
- 0x300 DRIVE: [speed:i16][steer:i16][mode:u8][flags:u8][_:u16] — combined frame
- 0x301 ARM:   [arm:u8]
- 0x302 PID:   [kp:f16][ki:f16][kd:f16][_:u16]  — half-float gains
- 0x303 ESTOP: [0xE5] — magic byte cut
- 0x400 ATTITUDE: [pitch:f16][speed:f16][yaw_rate:f16][state:u8][flags:u8]
- 0x401 BATTERY:  [vbat_mv:u16][fault_code:u8][rssi:i8]
- Add VESC STATUS1/4/5 decode helpers; VESC IDs 56 (left) / 68 (right)

can_bridge_node.py:
- /cmd_vel → encode_drive_cmd (speed/steer int16, MODE_DRIVE)
- /estop → encode_estop_cmd (magic 0xE5); clear → DISARM
- /saltybot/arm → encode_arm_cmd (new subscription)
- Watchdog sends DRIVE(0,0,MODE_IDLE) when /cmd_vel silent
- ATTITUDE (0x400) → /saltybot/attitude + /saltybot/balance_state JSON
- BATTERY  (0x401) → /can/battery BatteryState
- VESC STATUS1 frames → /can/vesc/left|right/state

stm32_cmd_node.py — rewritten for inter-board protocol API:
- Imports from updated stm32_protocol (BAUD_RATE=460800, new frame types)
- RX: RcChannels → /saltybot/rc_channels, SensorData → /saltybot/sensors
- TX: encode_led_cmd, encode_output_cmd from /saltybot/leds + /saltybot/outputs
- HEARTBEAT (0x20) timer replaces old SPEED_STEER/ARM logic

stm32_cmd_params.yaml: serial_port=/dev/esp32-io, baud=460800
stm32_cmd.launch.py: updated defaults and description

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-04-04 08:59:45 -04:00
..

Jetson Nano — AI/SLAM Platform Setup

Self-balancing robot: Jetson Nano dev environment for ROS2 Humble + SLAM stack.

Stack

Component Version / Part
Platform Jetson Nano 4GB
JetPack 4.6 (L4T R32.6.1, CUDA 10.2)
ROS2 Humble Hawksbill
DDS CycloneDDS
SLAM slam_toolbox
Nav Nav2
Depth camera Intel RealSense D435i
LiDAR RPLIDAR A1M8
MCU bridge ESP32 (USB CDC @ 921600)

Quick Start

# 1. Host setup (once, on fresh JetPack 4.6)
sudo bash scripts/setup-jetson.sh

# 2. Build Docker image
bash scripts/build-and-run.sh build

# 3. Start full stack
bash scripts/build-and-run.sh up

# 4. Open ROS2 shell
bash scripts/build-and-run.sh shell

Docs

Files

jetson/
├── Dockerfile              # L4T base + ROS2 Humble + SLAM packages
├── docker-compose.yml      # Multi-service stack (ROS2, RPLIDAR, D435i, ESP32 BALANCE)
├── README.md               # This file
├── docs/
│   ├── pinout.md           # GPIO/I2C/UART pinout reference
│   └── power-budget.md     # Power budget analysis (10W envelope)
└── scripts/
    ├── entrypoint.sh       # Docker container entrypoint
    ├── setup-jetson.sh     # Host setup (udev, Docker, nvpmodel)
    └── build-and-run.sh    # Build/run helper

Power Budget (Summary)

Scenario Total
Idle 2.9W
Nominal (SLAM active) ~10.2W
Peak 15.4W

Target: 10W (MAXN nvpmodel). Use RPLIDAR standby + 640p D435i for compliance. See docs/power-budget.md for full analysis.