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Stability Recognition with Active Vibration (RoboSoft 2021)

Title: Stability Recognition with Active Vibration for Bracing Behaviors and Motion Extensions Using Environment in Musculoskeletal Humanoids Authors: Kento Kawaharazuka, Manabu Nishiura, Shinsuke Nakashima, Yasunori Toshimitsu, Yusuke Omura, Yuya Koga, Yuki Asano, Kei Okada, Koji Kawasaki, Masayuki Inaba Accepted at RoboSoft2021 arxiv - https://arxiv.org/abs/2502.16092 Although robots with flexible bodies are superior in terms of the contact and adaptability, it is difficult to control them precisely. On the other hand, human beings make use of the surrounding environments to stabilize their bodies and control their movements. In this study, we propose a method for the bracing motion and extension of the range of motion using the environment for the musculoskeletal humanoid. Here, it is necessary to recognize the stability of the body when contacting the environment, and we develop a method to measure it by using the change in sensor values of the body when actively vibrating a part of the body. Experiments are conducted using the musculoskeletal humanoid Musashi, and the effectiveness of this method is confirmed.