Shingo Shimoda, Ph.D.
- How do living organisms adapt to the environmental situations? Is it possible to apply the bioligical method to robot control?
Intelligent Behavior Control Unit, BTCC
Unit Leader
Interactive learning, Adaptation to the environment
The amazing ability of living organisms to adapt to unknown situations is so unique that we cannot understand it through the conventional model-based control strategy. Our approach is to find the design principle of biological computational systems and apply it to artificial controllers. Using bio-mimetic controllers, we will work towards developing controllers that can learn autonomous behavior through the interaction of robot bodies and unknown environments.
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1
Shingo Shimoda, and Yuki Yoshihara and Hidenori Kimura: "Adaptability of tacit learning in bipedal locomotion", IEEE Transactions on Autonomous Mental Development (2013)
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2
Wojtara T, Sasaki M, Konosu H, Yamashita M, Shimoda S, Alnajjar F, and Kimura H: "Artificial balancer - supporting device for postural reflex.", Gait Posture, 35(2), 316-21 (2012)
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3
Tytus Wojtara, Masafumi Uchihara, Hideyuki Murayama, Shingo Shimoda, Satoshi Sakai, Hideo Fujimoto, and Hidenori Kimura: "Human-Robot Collaboration in Precise Positioning of a Three-Dimensional Object", Automatica, 45, 333-342 (2009)
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4
Shingo S, and Hidenori K: "Neural Computation Scheme of Compound Control: Tacit Learning for Bipedal Locomotion", Journal of Control, Measurement, and System Integration, 1(4), 275-283 (2008)
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5
Shingo S, Yoji K, and Karl I: "High-speed navigation of unmanned ground vehicles on uneven terrain using potential fields", Robotica, 25, 409-424 (2007)
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6
Shingo S, Takashi K, and Ichiro N: "Four-Wheel Hopping Robot with Attitude Control Mechanism", Journal of Robotics and Mechatronics, 16(3), 319-326 (2004)
