zju3dv/habitat-gs/habitat-gs-control
Claude Code and agent skill by zju3dv/habitat-gs
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Checking that the SKILL.md file is still in the repository.
Interactively pilot a robot in habitat-gs 3D Gaussian Splatting indoor scenes via MCP tools — load a scene, move, observe with RGB/depth, run autonomous nav loops, and export video. Use for hands-on control of a live sim session, NOT for training or evaluating a navigation policy (use the habitat-gs-train skill for that).
Install
npx vskill@latest install zju3dv/habitat-gs/habitat-gs-controlSKILL.md
habitat-gs-control
Control a robot navigating through photo-realistic 3D indoor environments. You have MCP tools for scene loading, movement, observation, and autonomous navigation.
IMPORTANT: Always use MCP tools (hab_init, hab_look, hab_forward, etc.) directly. Do NOT use exec or shell commands — the MCP tools are the only supported interface.
What you can do
- Observe:
hab_look(current view),hab_panorama(4-direction scan with depth),hab_depth_analyze(obstacle distances) - Move:
hab_forward(walk forward),hab_turn(rotate left/right) - Navigate:
hab_navigate(auto-walk to coordinates),hab_find_path(plan route),hab_topdown(overhead map) - Long tasks:
hab_nav_loop_start(launch autonomous navigation sub-agent),hab_nav_loop_status(check progress),hab_nav_loop_stop - Session:
hab_init(load scene),hab_close(end session),hab_export_video(replay video)
How to use
- Always init first: call
hab_initto load a scene before anything else. - Look before you move: use
hab_lookorhab_panoramato see the environment, then decide where to go. - For simple tasks (move forward, look around): use tools directly.
- For complex navigation (find an object, reach a goal, follow instructions): use
hab_nav_loop_startwith a goal description. It launches an autonomous sub-agent that navigates independently. Check progress withhab_nav_loop_statusonly when asked. - Export video when the task is done:
hab_export_videoencodes all captured frames into an mp4.
Navigation modes
The scene may run in two modes (auto-detected):
| navmesh | mapless | ||
|---|---|---|---|
Map tools (hab_navigate, hab_find_path, hab_topdown) | available | not available | |
| Coordinates visible | yes | no — only euclidean_distance_to_goal and goal_direction_deg | |
| How to navigate | use hab_navigate for efficient multi-step movement | use hab_forward/hab_turn with depth checks |
Task types for nav_loop
| Type | What it does | |
|---|---|---|
pointnav | Navigate to a target coordinate | |
objectnav | Find a specific object in the scene | |
imagenav | Find the viewpoint matching a reference image | |
eqa | Explore and answer a question about the environment | |
instruction_following | Follow step-by-step natural language instructions |
Examples:
- PointNav:
hab_nav_loop_start(task_type="pointnav", goal_x=1.0, goal_y=0.2, goal_z=-3.0) - ObjectNav:
hab_nav_loop_start(task_type="objectnav", goal_description="find the kitchen door") - EQA:
hab_nav_loop_start(task_type="eqa", goal_description="Is there a microwave in this scene?") - ImageNav: requires reference_image — see below
ImageNav workflow
ImageNav needs a reference image to match. You must capture it first:
- Call
hab_look— note the image path from the result (e.g."/path/to/session_step000001_color_sensor.png") - Move the robot away:
hab_forward,hab_turn - Start imagenav with the saved path:
hab_nav_loop_start(task_type="imagenav", goal_description="match the reference view", reference_image="/path/to/session_step000001_color_sensor.png")
If you skip reference_image, the sub-agent will not know what view to look for.
Sending results to users
Use the media parameter in the message tool to send images or videos:
Do NOT paste file paths as plain text — always use the media parameter.
Troubleshooting
| Problem | Solution | |
|---|---|---|
Connection refused | Bridge is not running — ask the user to start it | |
Unknown session_id | Session expired — call hab_init again | |
ESP_CHECK failed | Scene failed to load — try a different scene |
Security
- Security scanPassed, 100 of 100Pattern checks on the skill's files.
- Model reviewNot runA model review is scheduled for the next rescan.
Quality evaluation
- Task evaluationNot runNo evaluation yet. Run one in Skill Studio.
Source
- SKILL.md in the repositoryCheckingskills/habitat-gs-control/SKILL.md
Popularity
- Repository stars
- 251
- Repository forks
- 12
- 7-day trend score
- 28
Stars and forks are for the whole GitHub repository, not this skill alone. Not refreshed yet.
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