- docs/: rewrite AGENTS.md, wiring-diagram.md (SAUL-TEE arch); update SALTYLAB.md, FACE_LCD_ANIMATION.md, board-viz.html, SALTYLAB-DETAILED refs - cad/: dimensions.scad FC params → ESP32-S3 BALANCE params - chassis/: ASSEMBLY.md, BOM.md, ip54_BOM.md, *.scad — FC_MOUNT_SPACING/ FC_PITCH → TBD ESP32-S3; Drone FC → MCU mount throughout - CLAUDE.md, TEAM.md: project desc → SAUL-TEE; hardware table → ESP32-S3/VESC - USB_CDC_BUG.md: marked ARCHIVED (legacy STM32 era) - AUTONOMOUS_ARMING.md: USB CDC → inter-board UART (ESP32-S3 BALANCE) - projects/saltybot/SLAM-SETUP-PLAN.md: FC/STM32F722 → BALANCE/CAN - jetson/docs/pinout.md, power-budget.md, README.md: STM32 bridge → CAN bridge - jetson/config/RECOVERY_BEHAVIORS.md: FC+Hoverboard → BALANCE+VESC - jetson/ros2_ws: stm32_protocol.py → esp32_protocol.py, stm32_cmd_node.py → esp32_cmd_node.py, mamba_protocol.py → balance_protocol.py; can_bridge_node imports updated - scripts/flash_firmware.py: DFU/STM32 → pio run -t upload - src/ include/: ARCHIVED headers added (legacy code preserved) - test/: ARCHIVED notices; STM32F722 comments marked LEGACY - ui/diagnostics_panel.html: Board/STM32 → ESP32-S3 Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
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Jetson Orin Nano Super — AI/SLAM Platform Setup
Self-balancing robot: Jetson Orin Nano Super dev environment for ROS2 Humble + SLAM stack.
Stack
| Component | Version / Part |
|---|---|
| Platform | Jetson Orin Nano Super 8GB |
| JetPack | 6.x (L4T R36.x, CUDA 12.x) |
| ROS2 | Humble Hawksbill |
| DDS | CycloneDDS |
| SLAM | slam_toolbox |
| Nav | Nav2 |
| Depth camera | Intel RealSense D435i |
| LiDAR | RPLIDAR A1M8 |
| MCU bridge | ESP32-S3 BALANCE (CAN bus @ 500 kbps via CANable 2.0) |
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, CAN bridge)
├── README.md # This file
├── docs/
│ ├── pinout.md # GPIO/I2C/UART pinout reference
│ └── power-budget.md # Power budget analysis (25W 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) | ~19.9W |
| Peak | ~28.2W |
Target: 25W (MAXN nvpmodel). 5W headroom at nominal load.
See docs/power-budget.md for full analysis.