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Xinghua Liu

3 accepted papers

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-free control for soft manipulators based on reinforcement learning

IROS 2017poster

Most control methods of soft manipulators are developed based on physical models derived from mathematical analysis or learning methods. However, due to internal nonlinearity and external uncertain disturbances, it is difficult to build an accurate model, further, these methods lack robustness and p…

Cited by 79SourceScholar
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