Balance control for an underactuated leg exoskeleton based on capture point concept and human balance strategies

This paper presents a balance control for a powered lower limbs exoskeleton based on the instantaneous capture point concept and human balance strategies. Our goal is to implement it on the exoskeleton EMY-Balance (CEA-LIST). The control is inspired from biomechanic studies and aims at assisting a healthy person while preserving his comfort and his safety to the maximum. We first present briefly how the machine can balance itself according to external perturbations which can come from the user, and how it can imitate human balance strategies. Then, we present how we compute joint torques for the specific actuation of EMY-Balance. We suppose in this study, that the user and the exoskleton share the same control : (1) the proposed control assists stand leg(s) in order to facilitate the balance recovery, (2) the user is supposed to compensate efforts to overcome actuation issues.

[1]  Michael Goldfarb,et al.  A controller for dynamic walking in bipedal robots , 2009, 2009 IEEE/RSJ International Conference on Intelligent Robots and Systems.

[2]  Jerry Pratt,et al.  Exploiting Natural Dynamics in the Control of a Planar Bipedal Walking Robot , 1998 .

[3]  A. Hof The equations of motion for a standing human reveal three mechanisms for balance. , 2007, Journal of biomechanics.

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

[5]  A. Hof The 'extrapolated center of mass' concept suggests a simple control of balance in walking. , 2008, Human movement science.

[6]  Alin Albu-Schäffer,et al.  Bipedal walking control based on Capture Point dynamics , 2011, 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems.

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

[8]  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..

[9]  Twan Koolen,et al.  Capturability-based analysis and control of legged locomotion, Part 2: Application to M2V2, a lower-body humanoid , 2012, Int. J. Robotics Res..

[10]  Aaron M. Dollar,et al.  Lower Extremity Exoskeletons and Active Orthoses: Challenges and State-of-the-Art , 2008, IEEE Transactions on Robotics.

[11]  Homayoon Kazerooni,et al.  Control of a lower extremity exoskeleton for human performance amplification , 2003 .

[12]  Boris Moriniere,et al.  EMY: a dual arm exoskeleton dedicated to the evaluation of Brain Machine Interface in clinical trials , 2015, 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

[13]  Z. Stojiljkovic,et al.  Development of active anthropomorphic exoskeletons , 2007, Medical and biological engineering.

[14]  Shuuji Kajita,et al.  Study of dynamic biped locomotion on rugged terrain-derivation and application of the linear inverted pendulum mode , 1991, Proceedings. 1991 IEEE International Conference on Robotics and Automation.

[15]  Jun Morimoto,et al.  Variable Ankle Stiffness Improves Balance Control: Experiments on a Bipedal Exoskeleton , 2016, IEEE/ASME Transactions on Mechatronics.

[16]  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.

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

[18]  Robert Bogue,et al.  Exoskeletons and robotic prosthetics: a review of recent developments , 2009, Ind. Robot.

[19]  David E. Orin,et al.  Optimizing foot Centers of pressure through force Distribution in a humanoid robot , 2013, Int. J. Humanoid Robotics.

[20]  Vijay R. Kumar,et al.  Force distribution in closed kinematic chains , 1988, IEEE J. Robotics Autom..

[21]  F. Horak,et al.  Central programming of postural movements: adaptation to altered support-surface configurations. , 1986, Journal of neurophysiology.

[22]  Jun Morimoto,et al.  XoR: Hybrid drive exoskeleton robot that can balance , 2011, 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems.

[23]  C. Chevallereau,et al.  Balance Control for an Active Leg Exoskeleton Based on Human Balance Strategies , 2016 .

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

[25]  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).