sl-controls f69c02880e feat: Add VESC balance PID controller with tilt safety (Issue #407)
- ROS2 node for balance mode PID parameter management via pyvesc UART
- Tilt safety kill switch: ±45° pitch > 500ms triggers motor cutoff
- Startup ramp: gradual acceleration from 0 to full output over configurable duration
- IMU integration: subscribe to /imu/data for pitch/roll angle computation
- State publishing: /saltybot/balance_state with tilt angles, PID values, motor telemetry
- Data logging: /saltybot/balance_log publishes CSV-formatted IMU + motor data
- Configurable parameters: PID gains, tilt thresholds, ramp duration, control frequency
- Test suite: quaternion to Euler conversion, tilt safety checks, startup ramp

Co-Authored-By: Claude Haiku 4.5 <noreply@anthropic.com>
2026-03-04 22:40:26 -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.