LMPC based online generation of more efficient walking motions

This paper proposes solutions to the relative lack of efficiency of walking trajectories generated online. Extensions of a previously introduced Linear Model Predictive Control law are proposed that allow to improve the walking performance through variation of the height of the CoM and toe flexion. Extensive simulations serve to demonstrate the capacity of the improved scheme to generate significantly more efficient walking motions.

[1]  Arthur D Kuo,et al.  The six determinants of gait and the inverted pendulum analogy: A dynamic walking perspective. , 2007, Human movement science.

[2]  Shuuji Kajita,et al.  A Biped Pattern Generation Allowing Immediate Modification of Foot Placement in Real-time , 2006, 2006 6th IEEE-RAS International Conference on Humanoid Robots.

[3]  S. Collins,et al.  The advantages of a rolling foot in human walking , 2006, Journal of Experimental Biology.

[4]  Shuuji Kajita,et al.  International Journal of Humanoid Robotics c ○ World Scientific Publishing Company An Analytical Method on Real-time Gait Planning for a Humanoid Robot , 2022 .

[5]  C. T. Farley,et al.  Minimizing center of mass vertical movement increases metabolic cost in walking. , 2005, Journal of applied physiology.

[6]  Shuuji Kajita,et al.  Real-time 3D walking pattern generation for a biped robot with telescopic legs , 2001, Proceedings 2001 ICRA. IEEE International Conference on Robotics and Automation (Cat. No.01CH37164).

[7]  Peter G Adamczyk,et al.  Redirection of center-of-mass velocity during the step-to-step transition of human walking , 2009, Journal of Experimental Biology.

[8]  Andy Ruina,et al.  Energetic Consequences of Walking Like an Inverted Pendulum: Step-to-Step Transitions , 2005, Exercise and sport sciences reviews.

[9]  Manoj Srinivasan,et al.  Computer optimization of a minimal biped model discovers walking and running , 2006, Nature.

[10]  Takashi Matsumoto,et al.  Real time motion generation and control for biped robot -2nd report: Running gait pattern generation- , 2009, 2009 IEEE/RSJ International Conference on Intelligent Robots and Systems.

[11]  Ryosuke Tajima,et al.  Fast running experiments involving a humanoid robot , 2009, 2009 IEEE International Conference on Robotics and Automation.

[12]  Masayuki Inaba,et al.  Online generation of humanoid walking motion based on a fast generation method of motion pattern that follows desired ZMP , 2002, IEEE/RSJ International Conference on Intelligent Robots and Systems.

[13]  Arthur D Kuo,et al.  Energetics of actively powered locomotion using the simplest walking model. , 2002, Journal of biomechanical engineering.

[14]  Kazuhito Yokoi,et al.  Biped walking pattern generation by using preview control of zero-moment point , 2003, 2003 IEEE International Conference on Robotics and Automation (Cat. No.03CH37422).

[15]  Daniel P. Ferris,et al.  Metabolic and mechanical energy costs of reducing vertical center of mass movement during gait. , 2009, Archives of physical medicine and rehabilitation.

[16]  Shuuji Kajita,et al.  Pattern Generation of Biped Walking Constrained on Parametric Surface , 2005, Proceedings of the 2005 IEEE International Conference on Robotics and Automation.

[17]  Kazuhito Yokoi,et al.  Human-like walking with toe supporting for humanoids , 2011, 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems.

[18]  Takashi Matsumoto,et al.  Real time motion generation and control for biped robot -1st report: Walking gait pattern generation- , 2009, 2009 IEEE/RSJ International Conference on Intelligent Robots and Systems.

[19]  Stefano Stramigioli,et al.  Analysis and simulation of fully ankle actuated planar bipedal robots , 2008, 2008 IEEE/RSJ International Conference on Intelligent Robots and Systems.

[20]  J. Donelan,et al.  Mechanical work for step-to-step transitions is a major determinant of the metabolic cost of human walking. , 2002, The Journal of experimental biology.

[21]  Shuuji Kajita,et al.  ZMP-based Biped Running Enhanced by Toe Springs , 2007, Proceedings 2007 IEEE International Conference on Robotics and Automation.

[22]  Yasuo Kuniyoshi,et al.  Online gait planning with Dynamical 3D-Symmetrization method , 2007, 2007 7th IEEE-RAS International Conference on Humanoid Robots.

[23]  Olivier Stasse,et al.  Faster and Smoother Walking of Humanoid HRP-2 with Passive Toe Joints , 2006, 2006 IEEE/RSJ International Conference on Intelligent Robots and Systems.

[24]  Yannick Aoustin,et al.  Comparison of different gaits with rotation of the feet for a planar biped , 2009, Robotics Auton. Syst..

[25]  Andrei Herdt,et al.  Walking without thinking about it , 2010, 2010 IEEE/RSJ International Conference on Intelligent Robots and Systems.

[26]  Masayuki Inaba,et al.  Toe joints that enhance bipedal and fullbody motion of humanoid robots , 2002, Proceedings 2002 IEEE International Conference on Robotics and Automation (Cat. No.02CH37292).