sl-jetson cea3eaff97 cleanup: Remove all Mamba/STM32/BlackPill references — ESP32-S3 only
- Renamed mamba_protocol.py → balance_protocol.py; updated all importers
- can_bridge_node.py rewritten to use balance_protocol.py API (ESP32-S3 BALANCE)
- test_can_bridge.py rewritten to test actual balance_protocol.py constants/functions
- All STM32/Mamba references in Python, YAML, Markdown, shell scripts replaced:
  * Hardware: MAMBA F722S → ESP32-S3 BALANCE/IO
  * Device paths: /dev/stm32-bridge → /dev/esp32-io
  * Node names: stm32_serial_bridge → esp32_io_serial_bridge
  * hardware_id: stm32f722 → esp32s3-balance/esp32s3-io
- C/C++ src/include/lib/test files: added DEPRECATED header comment
- Covers: saltybot_bridge, saltybot_can_bridge, saltybot_can_e2e_test,
  saltybot_bringup, saltybot_diagnostics, saltybot_mode_switch, and all
  chassis, docs, scripts, and project files

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-04-04 08:56:09 -04:00

66 lines
1.8 KiB
Markdown

# 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 |
| Motor controller | ESP32-S3 BALANCE (CAN bus 500 kbps) |
## Quick Start
```bash
# 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`](docs/pinout.md) — GPIO/I2C/UART pinout for all peripherals
- [`docs/power-budget.md`](docs/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, ESP32-S3)
├── 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`](docs/power-budget.md) for full analysis.