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A Reconfigurable Design for Omni-adaptive Grasp Learning
Posted inNews Publication

A Reconfigurable Design for Omni-adaptive Grasp Learning

Fang Wan, Haokun Wang, Jiyuan Wu, Yujia Liu, Sheng Ge, Chaoyang Song* The engineering design of robotic grippers presents an ample design space for optimization towards robust grasping. In this…
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Posted by By Design and Learning Research Group 2020-03-10Posted inNews, Publication
Robotic Cane as a Soft SuperLimb for Elderly Sit-to-Stand Assistance
Posted inNews Publication

Robotic Cane as a Soft SuperLimb for Elderly Sit-to-Stand Assistance

Xia Wu, Haiyuan Liu, Ziqi Liu, Mingdong Chen, Fang Wan, Chenglong Fu, Harry Asada, Zheng Wang, Chaoyang Song* Many researchers have identified robotics as a potential solution to the aging…
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Posted by By Design and Learning Research Group 2020-03-10Posted inNews, Publication
Rigid-Soft Interactive Learning for Robust Grasping
Posted inNews Publication

Rigid-Soft Interactive Learning for Robust Grasping

Linhan Yang, Fang Wan, Haokun Wang, Xiaobo Liu, Yujia Liu, Jia Pan, Chaoyang Song Inspired by widely used soft fingers on grasping, we propose a method of rigid-soft interactive learning,…
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Posted by By Design and Learning Research Group 2020-03-10Posted inNews, Publication
Scalable Tactile Sensing for an Omni-adaptive Soft Robot Finger
Posted inNews Publication

Scalable Tactile Sensing for an Omni-adaptive Soft Robot Finger

Zeyi Yang, Sheng Ge, Fang Wan, Yujia Liu, and Chaoyang Song* Robotic fingers made of soft material and compliant structures usually lead to superior adaptation when interacting with the unstructured…
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Posted by By Design and Learning Research Group 2020-03-10Posted inNews, Publication
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