Minimalist CPG Model for Inter- and Intra-limb Coordination in Bipedal Locomotion
Inter- and intra-limb coordination for bipedal locomotion were numerically investigated using a “minimalist” bipedal robot model and an unconventional central pattern generator (CPG)-based control scheme that exploits local sensory feedback generated from the discrepancy between the control system, mechanical system, and environment. The simulation results showed that a bipedal robot controlled by the proposed controller exhibits walking and running gaits dependent only on one parameter: the angular velocity of the oscillators. Interestingly, spontaneous inter- and intra-limb coordination were found to be inherent to the proposed design scheme for stable bipedal locomotion. These findings are expected to lead to a useful methodology for robots to generate stable and adaptive locomotion.
Keywordsbipedal locomotion inter- and intra-limb coordination discrepancy
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- 1.Shik, M.L., Severin, F.V., Orlovskii, G.N.: Control of Walking and Running by Means of Electrical Stimulation of the Midbrain. Biophysics 11, 756–765 (1966)Google Scholar
- 6.Righetti, L., Ijspeert, A.J.: Pattern Generators with Sensory Feedback for the Control of Quadruped Locomotion. In: Proc. of ICRA 2008, pp. 819–824 (2008)Google Scholar
- 7.Diedrich, F.J., Warren, W.H.: Why Change Gaits? Dynamics of the Walk-Run Transition. Journal of Experimental Psychology 21, 183–202 (1995)Google Scholar
- 9.Owaki, D., Osuka, K., Ishiguro, A.: On the embodiment that enables passive dynamic bipedal running. In: Proc. of ICRA 2008, pp. 341–346 (2008)Google Scholar
- 10.Umedachi, T., Takeda, K., Nakagaki, T., Kobayashi, R., Ishiguro, A.: Fully Decentralized Control of a Soft-bodied Robot Inspired by True Slime Mold. Biological Cybernetics (2010), doi:10.1007/s00422-010-0367-9Google Scholar
- 11.Poppele, R.E., Bosco, G., Rankin, A.M.: Independent Representations of Limb Axis Length and Orientation in Spinocerebellar Response Components. J. Neurophysiol. 87, 409–422 (2002)Google Scholar
- 12.Sato, T., Kano, T., Ishiguro, A.: On the Applicability of the Decentralized Control Mechanism Extracted from the True Slime Mold: A Robotic Case Study with a Serpentine Robot. Bioinspiration and Biomimetics 6 (2010), doi:10.1088/1748-3182Google Scholar
- 13.Kano, T., Nagasawa, K., Owaki, D., Tero, A., Ishiguro, A.: A CPG-based Decentralized Control of a Quadruped Robot Inspired by True Slime Mold. In: Proc. of IROS 2010, pp. 4928–4933 (2010)Google Scholar
- 14.Pfeifer, R., Bongard, J.: How the Body Shapes the Way We Think: A New View of Intelligence. MIT Press (2006)Google Scholar
- 15.Alexander, R.M.: Walking and Running. American Scientist 72, 348–354 (1984)Google Scholar