Abstract
A CPG control mechanism is proposed for hopping motion control of biped robot in unpredictable environment. Based on analysis of robot motion and biological observation of animal’s control mechanism, the motion control task is divided into two simple parts: motion sequence control and output force control. Inspired by a two-level CPG model, a two-level CPG control mechanism is constructed to coordinate the drivers of robot joint, while various feedback information are introduced into the control mechanism. Interneurons within the control mechanism are modeled to generate motion rhythm and pattern promptly for motion sequence control; motoneurons are modeled to control output forces of joint drivers in real time according to feedbacks. The control system can perceive changes caused by unknown perturbations and environment changes according to feedback information, and adapt to unpredictable environment by adjusting outputs of neurons. The control mechanism is applied to a biped hopping robot in unpredictable environment on simulation platform, and stable adaptive motions are obtained.
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References
Mardera E, Buchera D. Central pattern generators and the control of rhythmic movements. Current Biology, 2001, 11, 986–996.
Grillner S. Biological pattern generation: The cellular and computational logic of networks in motion. Neuron, 2006, 52, 751–766.
Kimura H, Tsuchiya K, Ishiguro A, Witte H. Adaptive Motion of Animals and Machines, Springer, Tokyo, 2006.
Lewis M A, Tenore F, Etienne-Cummings R. CPG design using inhibitory networks. IEEE International Conference on Robotics and Automation, Barcelona, Spain, 2005, 3682–3687.
Kimura H, Fukuoka Y, Cohen A H. Adaptive dynamic walking of a quadruped robot on natural ground based on biological concepts. Journal of Robotics Research, 2007, 26, 475–490.
Fukuoka Y, Kimura H, Hada Y. Adaptive dynamic walking of a quadruped robot tekken on irregular terrain using a neural system model. Robotics and Automation, 2003, 9, 2037–2042.
Ijspeert A J. A connectionist central pattern generator for the aquatic and terrestrial gaits of a simulated salamander. Biological Cybernetics, 2001, 84, 331–348.
Taga G, Yamaguehi Y, Shimizu H. Self-organized control of bipedal locomotion by neural oscillators in unpredictable environment. Biological Cybernetics, 1991, 65, 147–159.
Nishii J. An adaptive control model of a locomotion by the central pattern generator. Lecture Notes in Computer Science, 1995, 930, 151–157.
Nishii J. A learning model of a periodic locomotor pattern by the central pattern generator. Adaptive Behavior, 1999, 7, 137–149.
Rutishauser S, Sprowitz A, Righetti L, Ijspeert A J. Passive compliant quadruped robot using Central Pattern Generators for locomotion control. 2nd IEEE RAS & EMBS International Conference on Biomedical Robotics and Biomechatronics, Scottsdale, Arizona, USA, 2008, 710–715.
Kassim A B M, Yasuno T. Moving control of quadruped hopping robot using adaptive CPG networks. IEEE Conference on Robotics Automation and Mechatronics, Singapore, 2010, 581–588.
Ijspeert A J. Central pattern generators for locomotion control in animals and robots: A review. Neural Networks, 2008, 21, 642–653.
Grillner S. Biological pattern generation: The cellular and computational logic of networks in motion. Neuron, 2006, 52, 751–766.
Graham Brown T G. On the fundamental activity of the nervous centers: Together with an analysis of the conditioning of rhythmic activity in progression, and a theory of the evolution of function in the nervous system. The Journal of Physiology, 1914, 48, 18–41.
McCrea D A, Rybak I A. Organization of mammalian locomotor rhythm and pattern generation. Brain Research Reviews, 2008, 57, 134–146.
Gallagher J, Beer R, Espenschied K, Quinn R. Application of evolved locomotion controllers to a hexapod robot. Robotics and Autonomous Systems, 1996, 19, 95–103.
Beer R, Chiel H. A distributed neural network for hexapod robot locomotion. Neural Computation, 1992, 4, 356–365.
Raibert M H, Brown H B Jr, Chepponis M. Experiments in balance with a 3D one-legged hopping machine. Robotics Research, 1984, 3, 75–92.
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Wang, T., Guo, W., Li, M. et al. CPG Control for Biped Hopping Robot in Unpredictable Environment. J Bionic Eng 9, 29–38 (2012). https://doi.org/10.1016/S1672-6529(11)60094-2
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DOI: https://doi.org/10.1016/S1672-6529(11)60094-2