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Yusong Jin

3 accepted papers

2022

A Reinforcement Learning Method for Motion Control With Constraints on an HPN Arm

RA-L 2022

Soft robotic arms have shown great potential toward applications to human daily lives, which is mainly due to their infinite passive degrees of freedom and intrinsic safety. There are tasks in lives that require the motion of the robot to meet some certain pose constraints that have not been impleme

Cited by 6SourceScholar
2017

A two-level approach for solving the inverse kinematics of an extensible soft arm considering viscoelastic behavior

ICRA 2017poster

Soft compliant materials and novel actuation mechanisms ensure flexible motions and high adaptability for soft robots, but also increase the difficulty and complexity of constructing control systems. In this work, we provide an efficient control algorithm for a multi-segment extensible soft arm in 2…

Cited by 72SourceScholar
2017

Model-less feedback control for soft manipulators

IROS 2017poster

Soft manipulators have been a rising focus of soft robotics research. Taking advantage of soft materials and flexible, continuous movements, they have promising applicable prospect. However, their highly internal nonlinearity and unpredictable deformation caused by environmental effects make it diff…

Cited by 33SourceScholar