Abstract
In the neurophysiology it has been clarified that some rhythm generators called the Central Pattern Generator (CPG) exists in animal locomotion. The CPG is able to generate various walking patterns without any previous plan and environment model. Using the CPG one can simplify the complicated walking system. In this paper, the CPG model for quadruped static walk is proposed and applied to the quadruped robot, TITAN-VIII. Moreover, we consider the irregular terrain as a walking environment with the sensor to recognize the softness of ground. By using the neural reflex control, it is shown that the robot can autonomously walk the soft terrain.
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References
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© 2002 Springer-Verlag Tokyo
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Shimada, S., Egami, T., Ishimura, K., Wada, M. (2002). Neural Control of Quadruped Robot for Autonomous Walking on Soft Terrain. In: Asama, H., Arai, T., Fukuda, T., Hasegawa, T. (eds) Distributed Autonomous Robotic Systems 5. Springer, Tokyo. https://doi.org/10.1007/978-4-431-65941-9_41
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DOI: https://doi.org/10.1007/978-4-431-65941-9_41
Publisher Name: Springer, Tokyo
Print ISBN: 978-4-431-65943-3
Online ISBN: 978-4-431-65941-9
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