StereoPolicy: Improving Robotic Manipulation Policies via Stereo Perception

ArXi:2605.09989v1 Announce Type: cross Recent advances in robot imitation learning have yielded powerful visuomotor policies capable of manipulating a wide variety of objects directly from monocular visual inputs. However, monocular observations inherently lack reliable depth cues and spatial awareness, which are critical for precise manipulation in cluttered or geometrically complex scenes. To address this limitation, we