7 citations · 20 across the 22 of their papers we have counts for
4 papers · 1 filter
Learn to Grasp with Less Supervision: A Data-Efficient Maximum Likelihood Grasp Sampling Loss
Xinghao Zhu, Yefan Zhou, Yongxiang Fan +3
Robotic grasping for a diverse set of objects is essential in many robot manipulation tasks. One promising approach is to learn deep grasping models from large training datasets of…
Cross Domain Robot Imitation with Invariant Representation
Zhao-Heng Yin, Lingfeng Sun, Hengbo Ma +2
Animals are able to imitate each others' behavior, despite their difference in biomechanics. In contrast, imitating the other similar robots is a much more challenging task in robo…
Diverse Critical Interaction Generation for Planning and Planner Evaluation
Zhao-Heng Yin, Lingfeng Sun, Liting Sun +2
Generating diverse and comprehensive interacting agents to evaluate the decision-making modules is essential for the safe and robust planning of autonomous vehicles~(AV). Due to ef…
6-DoF Contrastive Grasp Proposal Network
Xinghao Zhu, Lingfeng Sun, Yongxiang Fan +1
Proposing grasp poses for novel objects is an essential component for any robot manipulation task. Planning six degrees of freedom (DoF) grasps with a single camera, however, is ch…