- Setup your Dog: requirements, install, connecting to your Go2, and agentic control
- Simulation: try it with no hardware via replay or MuJoCo
- Mapping & Navigation: live nav, premap recording, and relocalization
| Blueprint | Description |
|---|---|
dimos run unitree-go2-basic |
Connection + visualization (no navigation) |
dimos run unitree-go2 |
Full navigation stack |
dimos run unitree-go2-agentic |
Navigation + LLM agent + MCP tool access |
dimos run unitree-go2-agentic-ollama |
Agent with local Ollama models |
dimos run unitree-go2-spatial |
Navigation + spatial memory |
dimos run unitree-go2-detection |
Navigation + object detection |
dimos --record run unitree-go2 |
Navigation + record every stream to recordings/<run-id>/memory.db (Recording) |
dimos run unitree-go2-memory |
Navigation + record lidar/odom/color_image to .db |
dimos run unitree-go2-relocalization |
Navigation + align live scans to a saved .pc2.lcm premap |
- Navigation overview: live mapping vs premap relocalization
- Navigation stack: column-carving voxel mapping, costmap generation, A* planning
- Relocalization: record →
dimos map global --export→ replay or live deploy - Visualization: Rerun, performance tuning
- Data Streams: RxPY streams, backpressure, quality filtering
- Transports: LCM, SHM, DDS
- Blueprints: composing modules