Roma Satoh

Collision Avoidance with Differentiable Occupancy Functions in Object Rearrangement

We address the challenge of object relocation by robots in environments where their behavior is expected to resemble that of humans. Existing methods typically learn to regress the position and orientation of objects specified by natural language commands using training data. However, these approach