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hiangx-robotics/metafine
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Python
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MIT
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Set up MetaFine with SAPIEN and ManiSkill, then run the perception sweep on the pi-0.5 backbone for a grasp task
Use the /metafine_add slash command to design a new pour-water task graph and validate its affordances
Read MetaFine's behaviour metrics code and explain how jerk RMS and velocity variance are computed from a trajectory
Wire a new atomic skill called push into MetaFine using the @register_skill decorator and one of the 11 affordance types
Run the MetaFine PPI real-sim hybrid flow on a scanned mug and report the three-score breakdown
Full explanation on explaingit →
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