sl-jetson c47ac41573 feat: Jetson Nano platform setup and Docker env (bd-1hcg)
- Dockerfile: L4T R32.6.1 (JetPack 4.6) base + ROS2 Humble + SLAM stack
  (slam_toolbox, Nav2, rplidar_ros, realsense2_camera, robot_localization)
- docker-compose.yml: multi-service stack (ROS2, RPLIDAR A1M8, D435i, STM32 bridge)
  with device passthrough, host networking for DDS, persistent map volume
- docs/pinout.md: full GPIO/I2C/UART pinout for STM32F722 bridge (USB CDC +
  UART fallback), RealSense D435i (USB3), RPLIDAR A1M8, udev rules
- docs/power-budget.md: 10W envelope analysis with per-component breakdown,
  mitigation strategies (RPLIDAR gating, D435i 640p, nvpmodel modes)
- scripts/setup-jetson.sh: host one-shot setup (Docker, nvidia-container-runtime,
  udev rules, MAXN power mode, swap)
- scripts/build-and-run.sh: build/up/down/shell/slam/status helper

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-02-28 12:46:14 -05:00

1.8 KiB

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.