Qianwen Zhao

Consensus-Driven Uncertainty for Robotic Grasping based on RGB Perception

Deep object pose estimators are notoriously overconfident. A grasping agent that both estimates the 6-DoF pose of a target object and predicts the uncertainty of its own estimate could avoid task failure by choosing not to act under high uncertainty. Even though object pose estimation improves and u