10 citations · 11 across the 6 of their papers we have counts for
6 papers
Safe and Steerable Geometric Motion Policies for Robotic Dexterous Manipulation
Albert Wu, Riccardo Bonalli, Thomas Lew +1
Robotic dexterous manipulation requires continuously reconciling objectives and constraints defined on heterogeneous geometric spaces: a robot controlled on a config…
CHIP: Adaptive Compliance for Humanoid Control through Hindsight Perturbation
Sirui Chen, Zi-ang Cao, Zhengyi Luo +7
Recent progress in humanoid robots has unlocked agile locomotion skills, including backflipping, running, and crawling. Yet it remains challenging for a humanoid robot to perform f…
Hand-Eye Autonomous Delivery: Learning Humanoid Navigation, Locomotion and Reaching
Sirui Chen, Yufei Ye, Zi-Ang Cao +3
We propose Hand-Eye Autonomous Delivery (HEAD), a framework that learns navigation, locomotion, and reaching skills for humanoids, directly from human motion and vision perception…
ARCap: Collecting High-quality Human Demonstrations for Robot Learning with Augmented Reality Feedback
Sirui Chen, Chen Wang, Kaden Nguyen +2
Recent progress in imitation learning from human demonstrations has shown promising results in teaching robots manipulation skills. To further scale up training datasets, recent wo…
One-Shot Transfer of Long-Horizon Extrinsic Manipulation Through Contact Retargeting
Albert Wu, Ruocheng Wang, Sirui Chen +2
Extrinsic manipulation, the use of environment contacts to achieve manipulation objectives, enables strategies that are otherwise impossible with a parallel jaw gripper. However, o…
Learning Diverse and Physically Feasible Dexterous Grasps with Generative Model and Bilevel Optimization
Albert Wu, Michelle Guo, C. Karen Liu
To fully utilize the versatility of a multi-fingered dexterous robotic hand for executing diverse object grasps, one must consider the rich physical constraints introduced by hand-…