Preprint Open access
PolyUMI: Accessible Visual-Tactile-Audio Data Collection for Object Inference and Manipulation
Humans typically rely on vision, touch, hearing, and proprioception to perceive contact and adapt their actions during manipulation. Providing robots with comparable responsiveness therefore requires hardware that can retain and use these complementary sensory signals. Most imitation-learning systems, however, observe …