SOURCE-LINKED INTELLIGENCE
VISTA: Visually Inferred Spatial ConTact Attention for Contact-Rich Manipulation
Contact-rich manipulation requires precise interaction feedback. While vision-centric imitation learning is prevalent, external visual observations provide indirect and ambiguous cues about contact states, particularly under occlusion or subtle object--gripper interactions; dedicated tactile or force sensors can provide rich contact information but introduce additional hardware complexity, calibration requirements, and deployment costs. To bridge this gap, we propose VISTA-Policy, an imitation learning paradigm that utilizes the Visual Deformation Field (VDF), a 3D displacement representation
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Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-08-26T14:44:29.000Z
First collected: 2026-09-21T09:11:58.312Z. This is not the publication date.