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

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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

# 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 peripherals
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 for full analysis.

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