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Adaptive Control Strategies for Interlimb Coordination in Legged Robots: A Review.
Aoi, Shinya; Manoonpong, Poramate; Ambe, Yuichi; Matsuno, Fumitoshi; Wörgötter, Florentin.
Afiliação
  • Aoi S; Department of Aeronautics and Astronautics, Graduate School of Engineering, Kyoto UniversityKyoto, Japan.
  • Manoonpong P; Embodied AI & Neurorobotics Lab, Centre for Biorobotics, Mærsk Mc-Kinney Møller Institute, University of Southern DenmarkOdense, Denmark.
  • Ambe Y; Department of Applied Information Sciences, Graduate School of Information Sciences, Tohoku UniversityAoba-ku, Japan.
  • Matsuno F; Department of Mechanical Engineering and Science, Graduate School of Engineering, Kyoto UniversityKyoto, Japan.
  • Wörgötter F; Bernstein Center for Computational Neuroscience, Third Institute of Physics, Georg-August-Universität GöttingenGöttingen, Germany.
Front Neurorobot ; 11: 39, 2017.
Article em En | MEDLINE | ID: mdl-28878645
Walking animals produce adaptive interlimb coordination during locomotion in accordance with their situation. Interlimb coordination is generated through the dynamic interactions of the neural system, the musculoskeletal system, and the environment, although the underlying mechanisms remain unclear. Recently, investigations of the adaptation mechanisms of living beings have attracted attention, and bio-inspired control systems based on neurophysiological findings regarding sensorimotor interactions are being developed for legged robots. In this review, we introduce adaptive interlimb coordination for legged robots induced by various factors (locomotion speed, environmental situation, body properties, and task). In addition, we show characteristic properties of adaptive interlimb coordination, such as gait hysteresis and different time-scale adaptations. We also discuss the underlying mechanisms and control strategies to achieve adaptive interlimb coordination and the design principle for the control system of legged robots.
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Texto completo: 1 Base de dados: MEDLINE Idioma: En Revista: Front Neurorobot Ano de publicação: 2017 Tipo de documento: Article País de afiliação: Japão

Texto completo: 1 Base de dados: MEDLINE Idioma: En Revista: Front Neurorobot Ano de publicação: 2017 Tipo de documento: Article País de afiliação: Japão