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タイトル: Embedding Bifurcations into Pneumatic Artificial Muscle著者: Akashi, Nozomi; Kuniyoshi, Yasuo; Jo, Taketomo; Nishida, Mitsuhiro; Sakurai, Ryo; Wakao, Yasumichi; Nakajima, Kohei抄録: Harnessing complex body dynamics has long been a challenge in robotics, particularly when dealing with soft dynamics, which exhibit high complexity in interacting with the environment. Recent studies indicate that these dynamics can be used as a computational resource, exemplified by the McKibben pneumatic artificial muscle, a common soft actuator. This study demonstrates that bifurcations, including periodic and chaotic dynamics, can be embedded into the pneumatic artificial muscle, with the entire bifurcation structure using the framework of physical reservoir computing. These results suggest that dynamics not present in training data can be embedded through bifurcation embedment, implying the capability to incorporate various qualitatively different patterns into pneumatic artificial mu ...

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