sl-controls 118d2b3add feat: outdoor adaptive speed controller (saltybot_speed_controller)
Adds saltybot_speed_controller ROS2 package — sits between person_follower
(/cmd_vel_raw) and cmd_vel_bridge (/cmd_vel), providing adaptive speed profiles
tuned for balance stability during outdoor follow-me up to 8 m/s (EUC ride mode).

Key features:
- walk/jog/ride profiles (1.5/3.0/8.0 m/s) selected via UWB target velocity
- Hysteresis-based switching (5 ticks up, 15 ticks down) prevents oscillation
- Trapezoidal accel/decel ramps per profile; ride accel 0.3 m/s² (balance-safe)
- Emergency decel (2.0 m/s²) triggered by sudden target stop or hard decel
- GPS runaway protection: if GPS > commanded×1.5 AND > 50% profile_max → brake
- 52/52 unit tests (no ROS2 runtime required)

Topics: /cmd_vel_raw → [speed_controller] → /cmd_vel, /speed_controller/profile
Launch: ros2 launch saltybot_speed_controller outdoor_speed.launch.py

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-03-01 01:06:50 -05:00
..

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 STM32F722 (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, STM32)
├── 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.