Balance recovery control of human walking with foot slip

We present a balance recovery control design for human walking with foot slip. The control strategy is built on the two-mass linear inverted pendulum model (LIP) that represents the human body and limb motions. We first validate the model through experiments of human normal walking and walking with foot slip. We then design a balance recovery control using the capture point (CP) concept. We extend the CP-based walking control and incorporate time-varying locations of the zero moment point. These extensions allow the balance recovery control of the human's center of the mass movement to rapidly respond to the unexpected foot slip. We conduct experiments to tune the model parameters and to validate the slip recovery control.

[1]  Reinhard Blickhan,et al.  Compliant leg behaviour explains basic dynamics of walking and running , 2006, Proceedings of the Royal Society B: Biological Sciences.

[2]  Kazuo Hokkirigawa,et al.  Kinematics of center of mass and center of pressure predict friction requirement at shoe-floor interface during walking. , 2013, Gait & posture.

[3]  Tao Liu,et al.  Slip detection and prediction in human walking using only wearable inertial measurement units (IMUs) , 2015, 2015 IEEE International Conference on Advanced Intelligent Mechatronics (AIM).

[4]  Thurmon E Lockhart,et al.  Age-related joint moment characteristics during normal gait and successful reactive-recovery from unexpected slip perturbations. , 2009, Gait & posture.

[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]  Hirochika Inoue,et al.  Real-time humanoid motion generation through ZMP manipulation based on inverted pendulum control , 2002, Proceedings 2002 IEEE International Conference on Robotics and Automation (Cat. No.02CH37292).

[8]  Anne E. Martin,et al.  Predicting human walking gaits with a simple planar model. , 2014, Journal of biomechanics.

[9]  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.

[10]  E. Finkelstein,et al.  The costs of fatal and non-fatal falls among older adults , 2006, Injury Prevention.

[11]  M S Redfern,et al.  Biomechanics of slips , 2001, Ergonomics.

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

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

[14]  R. McGorry,et al.  The anatomy of a slip: Kinetic and kinematic characteristics of slip and non-slip matched trials. , 2010, Applied ergonomics.

[15]  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.

[16]  E. Westervelt,et al.  Feedback Control of Dynamic Bipedal Robot Locomotion , 2007 .

[17]  Yizhai Zhang,et al.  A robotic bipedal model for human walking with slips , 2015, 2015 IEEE International Conference on Robotics and Automation (ICRA).

[18]  Jingang Yi,et al.  Shoe-floor interactions during human slip and fall: Modeling and experiments , 2014 .

[19]  R. Cham,et al.  Lower extremity corrective reactions to slip events. , 2001, Journal of biomechanics.

[20]  T Bhatt,et al.  Influence of gait speed on stability: recovery from anterior slips and compensatory stepping. , 2005, Gait & posture.