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Xichuan Lin

3 accepted papers

2016

Hierarchical Interactive Learning for a HUman-Powered Augmentation Lower EXoskeleton

ICRA 2016poster

Learning by demonstration methods have gained considerable interest in human-coupled robot control. It aims at modeling the goal motion trajectories through human demonstration. However, in lower exoskeleton control, the physical human-robot interaction is changing from pilot to pilot or even for on…

Cited by 70SourceScholar
2016

Learning Cooperative Primitives with physical Human-Robot Interaction for a HUman-powered Lower EXoskeleton

IROS 2016poster

Human-powered lower exoskeletons have gained considerable interests from both academia and industry over the past few decades, and thus have seen increasing applications in areas of human locomotion assistance and strength augmentation. One of the most important aspects in those applications is to a…

Cited by 20SourceScholar
2015

Interactive learning for sensitivity factors of a human-powered augmentation lower exoskeleton

IROS 2015poster

Sensitivity Amplification Control (SAC) algorithm was first proposed in the augmentation applications of Berkeley Lower Extremity Exoskeleton (BLEEX). The SAC algorithm is widely used in human augmentation applications since it just need the information from the exoskeleton robot, so that the comple…

Cited by 50SourceScholar