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Jiaqiao Liang

4 accepted papers

2024

Controlling Soft Robotic Arms Using Hybrid Modelling and Reinforcement Learning

RA-L 2024

Soft robotic arms exhibit high deformability and degrees of freedom, which brings challenges in modeling accuracy and susceptibility to gravitational effects, resulting in imprecise control. This study proposes a reinforcement learning control strategy based on a hybrid model for precise control of

Cited by 8SourceScholar