StereoPolicy

StereoPolicy: Improving Robotic Manipulation Policies via Stereo Perception

arXiv:2605.09989v2 Announce Type: replace Abstract: Recent advances in robot imitation learning have produced powerful visuomotor policies that manipulate diverse objects from visual inputs. However, monocular observations lack depth information, which is critical for precise manipulation in cluttered or geometrically complex scenes. Explicit depth maps and point clouds are often noisy and fragile in real-world manipulation.