robotic_grounding_run

robotic_grounding_run is a Model training & evaluation skill for AI agents, published by nvidia-isaac in the video_to_data repository on GitHub. Skillspace rates robotic_grounding_run D (66/100) and it passed the safety scan; the rating is based on static analysis only.

Generates the exact command to run the robotic_grounding floating-hand (Sharpa Wave / Dex3) pipeline — retargeting, dummy-agent smoke tests, RL training, and evaluation. Use this skill whenever the user wants to RUN something in robotic_grounding and needs the right command: "how do I run a smoke test", "run the dummy agent on <sequence>", "train a policy on <dataset>", "evaluate my checkpoint", "retarget <dataset>", "run the pipeline on arctic/taco/hot3d/grab/h2o/dexycb/oakink2", "what's the command for ...", or when they describe an intent (dataset + stage + GUI/headless) and want the precise invocation. For the G1 whole-body pipeline use robotic_grounding_whole_body instead; for first-time setup use robotic_grounding_onboard; for failures use robotic_grounding_doctor.

Grade

D

Quality

66 / 100

Safety

Passed

GitHub stars

585

Unproven: rated by static analysis only, not yet compared head-to-head.

Our two independent classifiers differ on this skill's category, so treat the placement as provisional.

This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.

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