sl-jetson 86c60f48e6
Some checks failed
social-bot integration tests / Lint (flake8 + pep257) (push) Failing after 19s
social-bot integration tests / Lint (flake8 + pep257) (pull_request) Failing after 17s
social-bot integration tests / Core integration tests (mock sensors, no GPU) (push) Has been skipped
social-bot integration tests / Core integration tests (mock sensors, no GPU) (pull_request) Has been skipped
social-bot integration tests / Latency profiling (GPU, Orin) (push) Has been cancelled
social-bot integration tests / Latency profiling (GPU, Orin) (pull_request) Has been cancelled
feat: First Encounter social interaction launch (Issue #400)
Add encounter.launch.py orchestrating all First Encounter nodes:
- encounter_sync_service (offline queue backend)
- social_enrollment_node (face/voice enrollment)
- first_encounter_node (interaction orchestrator)
- wake_word_node (speech detection)
- face_display_bridge_node (UI frontend)

Include in full_stack.launch.py at t=9s with enable_encounter flag.
Add encounter_params.yaml with configurable greeting, TTS voice,
enrollment thresholds, database paths, and cloud sync settings.

Co-Authored-By: Claude Haiku 4.5 <noreply@anthropic.com>
2026-03-04 13:13:22 -05:00
..

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.