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Xinbo Yu

2 accepted papers

2022

Human-Robot Variable Impedance Skills Transfer Learning Based on Dynamic Movement Primitives

RA-L 2022

Endowing robots with human-like abilities to perform motor skills smoothly and naturally is one of the important goals of robotics. Learning from demonstration (LfD) has been successfully applied for learning tasks on robots, for which the human tutor can demonstrate a successful execution. Learning

Cited by 35SourceScholar
2019

Adaptive Neural Admittance Control for Collision Avoidance in Human-Robot Collaborative Tasks

IROS 2019poster

This paper proposed an adaptive neural admittance control strategy for collision avoidance in human-robot collaborative tasks. In order to ensure that the robot end-effector can avoid collisions with surroundings, robot should be operated compliantly by human within a constrained task space. An impe…

Cited by 7SourceScholar