...Jinzhou Li; Jie Ma; Yujie Hu; Li Zhang; Zhijie Liu; Shiying Sun Purpose This study aims to tackle control challenges in soft robots by proposing a visually-guided reinforcement learning approach. Precise tip trajectory tracking is achieved for a soft arm manipulator. Design/methodology/approach...

... reinforcement learning method with prior knowledge of muscle synergies is proposed for musculoskeletal robots to deal with partially observable scenarios. Compared with the existing methods, the proposed method effectively improves the performance. Furthermore, this paper promotes the fusion of neuroscience...

...Haifeng Huang; Xiaoyang Wu; Tingting Wang; Yongbin Sun; Qiang Fu Purpose This paper aims to study the application of reinforcement learning (RL) in the control of an output-constrained flapping-wing micro aerial vehicle (FWMAV) with system uncertainty. Design/methodology/approach A six-degrees...