Benchmarking Stability of Bipedal Locomotion Based on Individual Full Body Dynamics and Foot Placement Strategies–Application to Impaired and Unimpaired Walking

The principles underlying smooth and effortless human walking while maintaining stability as well as the ability to quickly respond to unexpected perturbations result from a plethora of well-balanced parameters, most of them yet to be determined. In this paper, we investigate criteria that may be useful for benchmarking stability properties of human walking. We perform dynamic reconstructions of human walking motions of unimpaired subjects and subjects walking with transfemoral prostheses from motion capture recordings using optimal control. We aim at revealing subject-specific strategies in applying dynamics in order to maintain steady gait considering irregularities such as deviating gait patterns or asymmetric body segment properties. We identify foot placement with respect to the Instantaneous Capture Point as the strategy globally applied by the subjects to obtain steady gait and propose the Residual Orbital Energy as a measure allowing for benchmarking human-like gait toward confident vs. cautious gait.

[1]  Karsten Berns,et al.  Learning Control of a Six-Legged Walking Machine , 1994 .

[2]  Han Houdijk,et al.  Steps to Take to Enhance Gait Stability: The Effect of Stride Frequency, Stride Length, and Walking Speed on Local Dynamic Stability and Margins of Stability , 2013, PloS one.

[3]  Kikuo Fujimura,et al.  The intelligent ASIMO: system overview and integration , 2002, IEEE/RSJ International Conference on Intelligent Robots and Systems.

[4]  Sergey V. Drakunov,et al.  Capture Point: A Step toward Humanoid Push Recovery , 2006, 2006 6th IEEE-RAS International Conference on Humanoid Robots.

[5]  Twan Koolen,et al.  Capturability-based analysis and control of legged locomotion, Part 1: Theory and application to three simple gait models , 2011, Int. J. Robotics Res..

[6]  Jerry Pratt,et al.  Velocity-Based Stability Margins for Fast Bipedal Walking , 2006 .

[7]  S. Simon Gait Analysis, Normal and Pathological Function. , 1993 .

[8]  Ambarish Goswami,et al.  Postural Stability of Biped Robots and the Foot-Rotation Indicator (FRI) Point , 1999, Int. J. Robotics Res..

[9]  Pierre-Brice Wieber On the stability of walking systems , 2002 .

[10]  Miomir Vukobratovic,et al.  Zero-Moment Point - Thirty Five Years of its Life , 2004, Int. J. Humanoid Robotics.

[11]  Twan Koolen,et al.  Summary of Team IHMC's virtual robotics challenge entry , 2013, 2013 13th IEEE-RAS International Conference on Humanoid Robots (Humanoids).

[12]  H. Bock,et al.  A Multiple Shooting Algorithm for Direct Solution of Optimal Control Problems , 1984 .

[13]  David A. Winter,et al.  Human balance and posture control during standing and walking , 1995 .

[14]  Richard W. Longman,et al.  Human-like actuated walking that is asymptotically stable without feedback , 2001, Proceedings 2001 ICRA. IEEE International Conference on Robotics and Automation (Cat. No.01CH37164).

[15]  Susanne W. Lipfert,et al.  Upright human gait did not provide a major mechanical challenge for our ancestors. , 2010, Nature communications.

[16]  Jaap H van Dieën,et al.  Stepping Asymmetry Among Individuals With Unilateral Transtibial Limb Loss Might Be Functional in Terms of Gait Stability , 2014, Physical Therapy.

[17]  Yuan F. Zheng,et al.  DRC-hubo walking on rough terrains , 2014, 2014 IEEE International Conference on Technologies for Practical Robot Applications (TePRA).

[18]  Pierre-Brice Wieber,et al.  Stabilization of the Capture Point Dynamics for Bipedal Walking Based on Model Predictive Control , 2012, SyRoCo.

[19]  Marko B. Popovic,et al.  Ground Reference Points in Legged Locomotion: Definitions, Biological Trajectories and Control Implications , 2005, Int. J. Robotics Res..

[20]  P. Leva Adjustments to Zatsiorsky-Seluyanov's segment inertia parameters. , 1996 .

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

[22]  Martin L. Felis,et al.  Modeling Emotional Aspects in Human Locomotion , 2015 .

[23]  A Roberts,et al.  Gait analysis: normal and pathological function (2nd edition) , 2010 .

[24]  Tomomichi Sugihara,et al.  Solvability-Unconcerned Inverse Kinematics by the Levenberg–Marquardt Method , 2011, IEEE Transactions on Robotics.

[25]  A L Hof,et al.  The condition for dynamic stability. , 2005, Journal of biomechanics.

[26]  Zohaib Aftab Simulation dynamique de perte d'équilibre : Application aux passagers debout de transport en commun , 2012 .

[27]  Alin Albu-Schäffer,et al.  Three-Dimensional Bipedal Walking Control Based on Divergent Component of Motion , 2015, IEEE Transactions on Robotics.

[28]  Peter J Beek,et al.  Stepping strategies for regulating gait adaptability and stability. , 2013, Journal of biomechanics.

[29]  P. Beek,et al.  Assessing the stability of human locomotion: a review of current measures , 2013, Journal of The Royal Society Interface.