255 citations · 379 across the 26 of their papers we have counts for
8 papers · 1 filter
Adaptive Vision-Based Control of Redundant Robots with Null-Space Interaction for Human-Robot Collaboration
Xiangjie Yan, Chen Chen, Xiang Li
Human-robot collaboration aims to extend human ability through cooperation with robots. This technology is currently helping people with physical disabilities, has transformed the…
Towards Safe Multi-Level Human-Robot Interaction in Industrial Tasks
Zhe Huang, Ye-Ji Mun, Haonan Chen +7
Multiple levels of safety measures are required by multiple interaction modes which collaborative robots need to perform industrial tasks with human co-workers. We develop three in…
Contact-Aware Non-prehensile Robotic Manipulation for Object Retrieval in Cluttered Environments
Yongpeng Jiang, Yongyi Jia, Xiang Li
Non-prehensile manipulation methods usually use a simple end effector, e.g., a single rod, to manipulate the object. Compared to the grasping method, such an end effector is compac…
Multi-Modal Interaction Control of Ultrasound Scanning Robots with Safe Human Guidance and Contact Recovery
Xiangjie Yan, Yongpeng Jiang, Guokun Wu +3
Ultrasound scanning robots enable the automatic imaging of a patient's internal organs by maintaining close contact between the ultrasound probe and the patient's body during a sca…
A Complementary Framework for Human-Robot Collaboration with a Mixed AR-Haptic Interface
Xiangjie Yan, Yongpeng Jiang, Chen Chen +4
There is invariably a trade-off between safety and efficiency for collaborative robots (cobots) in human-robot collaborations. Robots that interact minimally with humans can work w…
Learning to Estimate 3-D States of Deformable Linear Objects from Single-Frame Occluded Point Clouds
Kangchen Lv, Mingrui Yu, Yifan Pu +3
Accurately and robustly estimating the state of deformable linear objects (DLOs), such as ropes and wires, is crucial for DLO manipulation and other applications. However, it remai…
Seamless Interaction Design with Coexistence and Cooperation Modes for Robust Human-Robot Collaboration
Zhe Huang, Ye-Ji Mun, Xiang Li +6
A robot needs multiple interaction modes to robustly collaborate with a human in complicated industrial tasks. We develop a Coexistence-and-Cooperation (CoCo) human-robot collabora…
Hierarchical Intention Tracking for Robust Human-Robot Collaboration in Industrial Assembly Tasks
Zhe Huang, Ye-Ji Mun, Xiang Li +6
Collaborative robots require effective human intention estimation to safely and smoothly work with humans in less structured tasks such as industrial assembly, where human intentio…