sl-controls a50f22d56b feat: Nav2 cmd_vel to STM32 autonomous drive bridge
Adds cmd_vel_bridge_node — a standalone ROS2 node that subscribes to
Nav2 /cmd_vel and drives the STM32 over USB CDC with:
  - Hard velocity limits (max_linear_vel=0.5 m/s, max_angular_vel=2.0 rad/s)
  - Smooth ESC ramp (500 ESC-units/s, 50 Hz control loop)
  - Deadman switch: zeros targets if /cmd_vel silent >500 ms
  - Mode gate: sends drive only when STM32 reports md=2 (AUTONOMOUS)
  - Telemetry RX → /saltybot/imu, /saltybot/balance_state, /diagnostics
  - Heartbeat TX every 200 ms (H\n)

Deliverables:
  saltybot_bridge/cmd_vel_bridge_node.py   — node implementation
  config/cmd_vel_bridge_params.yaml        — tunable parameters
  launch/cmd_vel_bridge.launch.py          — standalone launch file
  test/test_cmd_vel_bridge.py              — 37 pytest unit tests (no ROS2)
  setup.py                                 — register node + new data files

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-02-28 22:50:15 -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.