A human-inspired mechanical criterion for multi-contact locomotion in humanoids

This work aims at experimentally identifying a mechanical principle of locomotion stability in humans and demonstrating that this principle can be used for generating stable multi-contact motions for humanoids. For this purpose, a destabilizing setup was built on which five different experiments were carried out by 15 human volunteers. We first show experimentally that when humans balance is perturbed (walking on a destabilizing setup, increasing walking speed, grasping or not a fixed element), the distance between the center of mass (CoM) and the central axis of the external contact wrench significantly increases. This result is coupled with a theoretical reasoning in mechanics in order to exhibit how lowering this distance amounts to lower the body's angular acceleration and thus constitutes a good strategy against falling. Finally, we illustrate the interest of this result for humanoid robot motion generation by embedding the minimization of the distance between the CoM and the central axis of the external contact wrench in an optimal control formulation in order generate multi-contact locomotion.

[1]  Nicolas Mansard,et al.  Center-of-Mass Estimation for a Polyarticulated System in Contact—A Spectral Approach , 2016, IEEE Transactions on Robotics.

[2]  Bryan Buchholz,et al.  ISB recommendation on definitions of joint coordinate systems of various joints for the reporting of human joint motion--Part II: shoulder, elbow, wrist and hand. , 2005, Journal of biomechanics.

[3]  P. Holliday,et al.  The relationship of postural sway in standing to the incidence of falls in geriatric subjects. , 1982, Age and ageing.

[4]  Johannes P. Schlöder,et al.  An efficient multiple shooting based reduced SQP strategy for large-scale dynamic process optimization. Part 1: theoretical aspects , 2003, Comput. Chem. Eng..

[5]  Nicolas Mansard,et al.  Learning Feasibility Constraints for Multicontact Locomotion of Legged Robots , 2017, Robotics: Science and Systems.

[6]  B. Galna,et al.  Quantification of soft tissue artifact in lower limb human motion analysis: a systematic review. , 2010, Gait & Posture.

[7]  T.E. Prieto,et al.  Measures of postural steadiness: differences between healthy young and elderly adults , 1996, IEEE Transactions on Biomedical Engineering.

[8]  T. Shimba An estimation of center of gravity from force platform data. , 1984, Journal of biomechanics.

[9]  Olivier Stasse,et al.  A versatile and efficient pattern generator for generalized legged locomotion , 2016, 2016 IEEE International Conference on Robotics and Automation (ICRA).

[10]  Shuuji Kajita,et al.  ZMP analysis for arm/leg coordination , 2003, Proceedings 2003 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2003) (Cat. No.03CH37453).

[11]  Marko B. Popovic,et al.  Angular momentum in human walking , 2008, Journal of Experimental Biology.

[12]  L. Chèze,et al.  Adjustments to McConville et al. and Young et al. body segment inertial parameters. , 2007, Journal of Biomechanics.

[13]  François Keith,et al.  Dynamic Whole-Body Motion Generation Under Rigid Contacts and Other Unilateral Constraints , 2013, IEEE Transactions on Robotics.

[14]  N. Mansard Multi-contact Locomotion of Legged Robots Justin Carpentier , 2018 .

[15]  E. Berton,et al.  Influence of body segments' parameters estimation models on inverse dynamics solutions during gait. , 2006, Journal of biomechanics.

[16]  F. Dimentberg The screw calculus and its applications in mechanics , 1968 .

[17]  J. Collins,et al.  Open-loop and closed-loop control of posture: A random-walk analysis of center-of-pressure trajectories , 2004, Experimental Brain Research.

[18]  R. Neptune,et al.  Muscle contributions to whole-body sagittal plane angular momentum during walking. , 2011, Journal of biomechanics.

[19]  Kazuhito Yokoi,et al.  Introduction to Humanoid Robotics , 2014, Springer Tracts in Advanced Robotics.

[20]  J. Dingwell,et al.  Kinematic variability and local dynamic stability of upper body motions when walking at different speeds. , 2006, Journal of biomechanics.

[21]  Patrick A Costigan,et al.  Relationship between stair ambulation with and without a handrail and centre of pressure velocities during stair ascent and descent. , 2011, Gait & posture.

[22]  J. Dingwell,et al.  Effects of walking speed, strength and range of motion on gait stability in healthy older adults. , 2008, Journal of biomechanics.

[23]  E Paul Zehr,et al.  Earth-referenced handrail contact facilitates interlimb cutaneous reflexes during locomotion. , 2007, Journal of neurophysiology.

[24]  Guy Bessonnet,et al.  Forces acting on a biped robot. Center of pressure-zero moment point , 2004, IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans.

[25]  Alexander Herzog,et al.  Structured contact force optimization for kino-dynamic motion generation , 2016, 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

[26]  Shuuji Kajita,et al.  A universal stability criterion of the foot contact of legged robots - adios ZMP , 2006, Proceedings 2006 IEEE International Conference on Robotics and Automation, 2006. ICRA 2006..

[27]  Pierre-Brice Wieber,et al.  Viability and predictive control for safe locomotion , 2008, 2008 IEEE/RSJ International Conference on Intelligent Robots and Systems.

[28]  Russ Tedrake,et al.  Whole-body motion planning with centroidal dynamics and full kinematics , 2014, 2014 IEEE-RAS International Conference on Humanoid Robots.

[29]  Marko B. Popovic,et al.  Angular momentum regulation during human walking: biomechanics and control , 2004, IEEE International Conference on Robotics and Automation, 2004. Proceedings. ICRA '04. 2004.