sl-jetson
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Delivers Issue #140 (P2): real-time gesture detection from 4 CSI cameras via MediaPipe Hands and Pose, publishing classified gestures on /social/gestures. New files: - saltybot_social_msgs/msg/Gesture.msg + GestureArray.msg — ROS2 message types - saltybot_social/gesture_classifier.py — pure-Python geometric classifier (stop_palm, thumbs_up/down, point, come_here, follow, wave, arms_up, arms_spread, crouch); WaveDetector temporal sliding-window oscillation tracker - saltybot_social/gesture_node.py — ROS2 node; round-robin multi-camera _FrameBuffer, lazy MediaPipe init, person-ID correlation via PersonState - saltybot_social/test/test_gesture_classifier.py — 70 unit tests, all passing - saltybot_social/config/gesture_params.yaml — tuned defaults for Orin Nano - saltybot_social/launch/gesture.launch.py — all params overridable at launch Modified: - saltybot_social_msgs/CMakeLists.txt — register Gesture + GestureArray msgs - saltybot_social/setup.py — add gesture_node console_scripts entry point 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.