Gait Generation and Transition of a Biped Robot Based on Kinematic Synergy in Human Locomotion

Humans have an extremely redundant system for locomotion. To handle the redundancy problem, humans use coordinative structures using conditions of constraint in their joint movements to reduce the number of degrees of freedom, which is called kinematic synergy. This chapter shows some characteristics in the kinematic synergy in human locomotion and shows a locomotion control system for a biped robot, which is inspired by the physiological concept of Central Pattern Generator (CPG) and phase resetting to produce gaits (quadrupedal and bipedal locomotion) and change them based on the kinematic synergy to tackle the redundancy problem in the motion planning of the robot.

[1]  A. Ijspeert,et al.  From Swimming to Walking with a Salamander Robot Driven by a Spinal Cord Model , 2007, Science.

[2]  M. Latash,et al.  Two kinematic synergies in voluntary whole-body movements during standing. , 2006, Journal of neurophysiology.

[3]  Gianfranco Bosco,et al.  Sophisticated spinal contributions to motor control , 2003, Trends in Neurosciences.

[4]  Michael I. Jordan,et al.  Optimal feedback control as a theory of motor coordination , 2002, Nature Neuroscience.

[5]  Yasuhiro Fukuoka,et al.  Adaptive Dynamic Walking of a Quadruped Robot on Natural Ground Based on Biological Concepts , 2007, Int. J. Robotics Res..

[6]  Axel Steinhage,et al.  SensFloor® and NaviFloor®: Robotics Applications for a Large-Area Sensor System , 2013, Int. J. Intell. Mechatronics Robotics.

[7]  Maki Habib,et al.  Mechatronics - A unifying interdisciplinary and intelligent engineering science paradigm , 2007, IEEE Industrial Electronics Magazine.

[8]  F. Lacquaniti,et al.  Motor Patterns in Walking. , 1999, News in physiological sciences : an international journal of physiology produced jointly by the International Union of Physiological Sciences and the American Physiological Society.

[9]  R. Poppele,et al.  Proprioception from a spinocerebellar perspective. , 2001, Physiological reviews.

[10]  Francesco Lacquaniti,et al.  Modular Control of Limb Movements during Human Locomotion , 2007, The Journal of Neuroscience.

[11]  A. d’Avella,et al.  Locomotor Primitives in Newborn Babies and Their Development , 2011, Science.

[12]  Yasuhiro Fukuoka,et al.  Adaptive Dynamic Walking of a Quadruped Robot on Irregular Terrain Based on Biological Concepts , 2003, Int. J. Robotics Res..

[13]  R. Poppele,et al.  Independent representations of limb axis length and orientation in spinocerebellar response components. , 2002, Journal of neurophysiology.

[14]  Taishin Nomura,et al.  Stumbling with optimal phase reset during gait can prevent a humanoid from falling , 2006, Biological Cybernetics.

[15]  Jun Morimoto,et al.  Learning from demonstration and adaptation of biped locomotion , 2004, Robotics Auton. Syst..

[16]  A. d’Avella,et al.  On the origin of planar covariation of elevation angles during human locomotion. , 2008, Journal of neurophysiology.

[17]  J. Kalaska,et al.  Muscle synergies during locomotion in the cat: a model for motor cortex control , 2008, The Journal of physiology.

[18]  Naomichi Ogihara,et al.  Planar covariation of limb elevation angles during bipedal walking in the Japanese macaque , 2012, Journal of The Royal Society Interface.

[19]  F. Lacquaniti,et al.  Kinematic coordination in human gait: relation to mechanical energy cost. , 1998, Journal of neurophysiology.

[20]  Shinya Aoi,et al.  Adaptive behavior in turning of an oscillator-driven biped robot , 2007, Auton. Robots.

[21]  Emilio Bizzi,et al.  Shared and specific muscle synergies in natural motor behaviors. , 2005, Proceedings of the National Academy of Sciences of the United States of America.

[22]  Francesco Lacquaniti,et al.  Motor Control Programs and Walking , 2006, The Neuroscientist : a review journal bringing neurobiology, neurology and psychiatry.

[23]  S. Grillner Locomotion in vertebrates: central mechanisms and reflex interaction. , 1975, Physiological reviews.

[24]  M. Latash,et al.  Muscle modes and synergies during voluntary body sway , 2007, Experimental Brain Research.

[25]  M. L. Shik,et al.  Neurophysiology of locomotor automatism. , 1976, Physiological reviews.

[26]  A. M. Degtyarenko,et al.  Patterns of locomotor drive to motoneurons and last-order interneurons: clues to the structure of the CPG. , 2001, Journal of neurophysiology.

[27]  Qiong Li,et al.  Mechatronics Technology for Solar Cells , 2013 .

[28]  D. McCrea,et al.  Modelling spinal circuitry involved in locomotor pattern generation: insights from deletions during fictive locomotion , 2006, The Journal of physiology.

[29]  Love Ekenberg,et al.  Automatized Decision Making for Autonomous Agents , 2013, Int. J. Intell. Mechatronics Robotics.

[30]  J. Massion,et al.  Axial synergies during human upper trunk bending , 1998, Experimental Brain Research.

[31]  F. Wörgötter,et al.  Self-organized adaptation of a simple neural circuit enables complex robot behaviour , 2010, ArXiv.

[32]  F. Lacquaniti,et al.  Five basic muscle activation patterns account for muscle activity during human locomotion , 2004, The Journal of physiology.

[33]  Kei Senda,et al.  Adaptive splitbelt treadmill walking of a biped robot using nonlinear oscillators with phase resetting , 2013, Auton. Robots.

[34]  Shinya Aoi,et al.  A stability-based mechanism for hysteresis in the walk–trot transition in quadruped locomotion , 2013, Journal of The Royal Society Interface.

[35]  Lena H Ting,et al.  A limited set of muscle synergies for force control during a postural task. , 2005, Journal of neurophysiology.

[36]  Tamio Arai,et al.  Wave CPG model for autonomous decentralized multi-legged robot: Gait generation and walking speed control , 2006, Robotics Auton. Syst..

[37]  F. Lacquaniti,et al.  Coordination of Locomotion with Voluntary Movements in Humans , 2005, The Journal of Neuroscience.

[38]  Florentin Wörgötter,et al.  Adaptive, Fast Walking in a Biped Robot under Neuronal Control and Learning , 2007, PLoS Comput. Biol..

[39]  Emilio Bizzi,et al.  Combinations of muscle synergies in the construction of a natural motor behavior , 2003, Nature Neuroscience.

[40]  K. Tsuchiya,et al.  Variant and invariant patterns embedded in human locomotion through whole body kinematic coordination , 2010, Experimental Brain Research.

[41]  Shinya Aoi,et al.  Functional Roles of Phase Resetting in the Gait Transition of a Biped Robot From Quadrupedal to Bipedal Locomotion , 2012, IEEE Transactions on Robotics.

[42]  Shinya Aoi,et al.  Locomotion Control of a Biped Robot Using Nonlinear Oscillators , 2005, Auton. Robots.

[43]  D. McCrea,et al.  Deletions of rhythmic motoneuron activity during fictive locomotion and scratch provide clues to the organization of the mammalian central pattern generator. , 2005, Journal of neurophysiology.

[44]  S. Grillner,et al.  Neuronal Control of LocomotionFrom Mollusc to Man , 1999 .

[45]  Auke Jan Ijspeert,et al.  Central pattern generators for locomotion control in animals and robots: A review , 2008, Neural Networks.

[46]  Anupam Shukla,et al.  Optimization of Focused Wave Front Algorithm in Unknown Dynamic Environment for Multi-Robot Navigation , 2013, Int. J. Intell. Mechatronics Robotics.

[47]  João Carlos Mendes Carvalho,et al.  Robot Modeling for Physical Rehabilitation , 2012 .

[48]  Alexander A. Frolov,et al.  Biomechanical analysis of movement strategies in human forward trunk bending. I. Modeling , 2001, Biological Cybernetics.