sl-firmware
b4bb6a44e0
Add saltybot_description ROS2 package with full kinematic model:
urdf/saltybot.urdf.xacro
- base_footprint → base_link (axle_height = 0.310m, from AXLE_HEIGHT SCAD)
- wheel_left/right_link (continuous, separation=0.600m, radius=0.1015m)
- imu_link (FC/MPU-6000 at x=+50mm forward, z=+12mm)
- stem_link (visual: 38.1mm EMT, 1.050m — from stem_battery_clamp.scad)
- sensor_head_link at top of stem
- laser (RPLIDAR A1M8, z=COL_H=36mm — frame matches slam_toolbox config)
- camera_link (RealSense D435i, ARM_R=50mm — matches realsense2_camera)
- camera_{front,left,rear,right}_link (IMX219, 10° down tilt, ARM_R=50mm
— positions match camera_tf.launch.py; that file superseded when live)
config/saltybot_properties.yaml
All dimensions from chassis/chassis_frame.scad + ASSEMBLY.md Rev A.
launch/robot_description.launch.py
Compiles xacro at launch time, runs robot_state_publisher.
Publishes /robot_description + /tf_static for all fixed joints.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
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
docs/pinout.md— GPIO/I2C/UART pinout for all peripheralsdocs/power-budget.md— 10W power envelope analysis
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.