2026
ShapeAfford: Reconstructing 3D Shape With Manipulation Affordance via Geometry-Affordance Synergy
RA-L 2026
To facilitate robot manipulation tasks, we propose ShapeAfford that reconstructs 3D object models with per-point affordance annotations from multi-view images and textual instructions. By integrating geometric modeling with affordance reasoning into an end-to-end framework, ShapeAfford leverages the