sl-controls 3c438595e8
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feat(rover): SaltyRover 4-wheel ESC motor driver (Issue #110)
- kinematics.py: pure unicycle→differential/skid-steer kinematics,
  speed_to_pwm (1000–2000µs), compute_wheel_speeds with ±max clip,
  odometry_from_wheel_speeds inverse helper
- rover_driver_node.py: 50 Hz ROS2 node; serial P<ch1>,<ch2>,<ch3>,<ch4>\n
  protocol; heartbeat H\n; deadman on /cmd_vel silence; runtime 2WD/4WD
  variant switch via four_wheel param; dead-reckoning odometry;
  publishes /saltybot/rover_pwm (JSON) + /saltybot/rover_odom
- config/rover_params.yaml, launch/rover_driver.launch.py, package.xml,
  setup.py, setup.cfg
- test/test_rover_kinematics.py: 51 unit tests, all passing

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-03-02 09:03:28 -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.