Neuromechanical Simulation of an Inter-leg Controller for Tetrapod Coordination

A biologically inspired control system has been developed for coordinating a tetrapod walking gait in the sagittal plane. The controller is built with biologically based neurons and synapses, and connections are based on data from literature where available. It is applied to a simplified, planar biomechanical model of a rat with 14 joints with an antagonistic pair of Hill muscle models per joint. The controller generates tension in the muscles through activation of simulated motoneurons. Though significant portions of the controller are based on cat research, this model is capable of reproducing hind leg behavior observed in walking rats. Additionally, the applied inter-leg coordination pathways between fore and hind legs are capable of creating and maintaining coordination in this rat model. Ablation tests of the different connections involved in coordination indicate the role of each connection in providing coordination with low variability.

[1]  A. Prochazka,et al.  Positive force feedback control of muscles. , 1997, Journal of neurophysiology.

[2]  Robert M Brownstone,et al.  Spinal interneurons providing input to the final common path during locomotion. , 2010, Progress in brain research.

[3]  Randall D. Beer,et al.  Leg Coordination Mechanisms in the Stick Insect Applied to Hexapod Robot Locomotion , 1993, Adapt. Behav..

[4]  T. Brown On the nature of the fundamental activity of the nervous centres; together with an analysis of the conditioning of rhythmic activity in progression, and a theory of the evolution of function in the nervous system , 1914, The Journal of physiology.

[5]  Thierry Hoinville,et al.  Walknet, a bio-inspired controller for hexapod walking , 2013, Biological Cybernetics.

[6]  Ronald M Harris-Warrick,et al.  Neuronal activity in the isolated mouse spinal cord during spontaneous deletions in fictive locomotion: insights into locomotor central pattern generator organization , 2012, The Journal of physiology.

[7]  Ying Zhu,et al.  AnimatLab: A 3D graphics environment for neuromechanical simulations , 2010, Journal of Neuroscience Methods.

[8]  A. Büschges,et al.  Dynamic simulation of insect walking. , 2004, Arthropod structure & development.

[9]  Ansgar Büschges,et al.  Assessing sensory function in locomotor systems using neuro-mechanical simulations , 2006, Trends in Neurosciences.

[10]  J. Schmitz,et al.  Rhythmic patterns in the thoracic nerve cord of the stick insect induced by pilocarpine , 1995, The Journal of experimental biology.

[11]  Nalin Harischandra,et al.  Decoding the mechanisms of gait generation in salamanders by combining neurobiology, modeling and robotics , 2013, Biological Cybernetics.

[12]  W Zmysłowski,et al.  Overground locomotion in intact rats: interlimb coordination, support patterns and support phases duration. , 1999, Acta neurobiologiae experimentalis.

[13]  M. Fischer,et al.  Torque patterns of the limbs of small therian mammals during locomotion on flat ground. , 2002, The Journal of experimental biology.

[14]  Ansgar Büschges,et al.  From neuron to behavior: dynamic equation-based prediction of biological processes in motor control , 2011, Biological Cybernetics.

[15]  H. Cruse,et al.  Coordination of the legs of a slow-walking cat , 2004, Experimental Brain Research.

[16]  K. Pearson Role of sensory feedback in the control of stance duration in walking cats , 2008, Brain Research Reviews.

[17]  D. McCrea,et al.  Organization of mammalian locomotor rhythm and pattern generation , 2008, Brain Research Reviews.

[18]  H. Cruse What mechanisms coordinate leg movement in walking arthropods? , 1990, Trends in Neurosciences.

[19]  K. Pearson,et al.  A role for hip position in initiating the swing-to-stance transition in walking cats. , 2005, Journal of neurophysiology.

[20]  Nalin Harischandra,et al.  System identification of muscle–joint interactions of the cat hind limb during locomotion , 2008, Biological Cybernetics.

[21]  M. Fischer,et al.  Basic limb kinematics of small therian mammals. , 2002, The Journal of experimental biology.

[22]  Roger D. Quinn,et al.  Descending commands to an insect leg controller network cause smooth behavioral transitions , 2011, 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems.

[23]  Sergey N Markin,et al.  Annals of the New York Academy of Sciences Afferent Control of Locomotor Cpg: Insights from a Simple Neuromechanical Model , 2022 .

[24]  Silvia Daun-Gruhn,et al.  A mathematical modeling study of inter-segmental coordination during stick insect walking , 2011, Journal of Computational Neuroscience.

[25]  K. G. Pearson,et al.  Coordination of fore and hind leg stepping in cats on a transversely-split treadmill , 2006, Experimental Brain Research.

[26]  Roger D. Quinn,et al.  A neuromechanical simulation of insect walking and transition to turning of the cockroach Blaberus discoidalis , 2013, Biological Cybernetics.

[27]  Ansgar Büschges,et al.  Network Modularity: Back to the Future in Motor Control , 2013, Current Biology.

[28]  K. Pearson,et al.  Computer simulation of stepping in the hind legs of the cat: an examination of mechanisms regulating the stance-to-swing transition. , 2005, Journal of neurophysiology.