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Design a pick primitive with fully physics-based grasping for arbitrary objects in OmniGibson/BEHAVIOR-1K

Develop a pick action primitive that leverages fully physics-based grasping for arbitrary objects within the OmniGibson simulation used by BEHAVIOR-1K, enabling realistic grasp execution without the performance degradation observed when simplifying grasping during training and evaluation.

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Background

In ablation experiments, enabling fully physics-based grasping at evaluation time caused a large drop in task performance, highlighting grasping as a critical bottleneck. To expedite training, the authors used an assistive pick primitive, but this diverges from realistic grasping dynamics.

The authors explicitly note that creating a pick primitive that supports fully physics-based grasping for arbitrary objects remains an open research problem, which is necessary to close the sim-real gap and to evaluate policies under realistic manipulation dynamics.

References

While OmniGibson supports fully physics-based grasping, designing a pick action primitive for arbitrary objects that leverages fully physics-based grasping is by itself an open research problem that we leave for future work.

BEHAVIOR-1K: A Human-Centered, Embodied AI Benchmark with 1,000 Everyday Activities and Realistic Simulation (2403.09227 - Li et al., 14 Mar 2024) in Section 6.1 (Evaluating BEHAVIOR-1K Solutions in OmniGibson), Ablation analysis