Ankle and hip balance control strategies with transitions

A method for implementing the ankle and hip balance control strategies, well known from studies on human balance control, is suggested. The moment of the acting disturbance force is evaluated continuously in real time via the difference between the ZMP and the ground projection of the center of mass. Compliant response to the continuous disturbance is ensured by attaching a virtual spring-damper in an appropriate way for each strategy. Further on, whenever the limit of the ankle strategy is reached, a smooth transition toward the hip strategy is initialized and compliance is ensured in a continuous way and in agreement with the disturbance. After the disturbance is removed, the humanoid switches first back to the ankle strategy, and then returns to the initial equilibrium (erect) posture. Experimental data taken with a small humanoid robot (HOAP-2) are presented to validate the method. See also the accompanying video clip.

[1]  Kazuya Yoshida,et al.  Impact analysis and post-impact motion control issues of a free-floating Space robot subject to a force impulse , 1999, IEEE Trans. Robotics Autom..

[2]  L. Nashner,et al.  The organization of human postural movements: A formal basis and experimental synthesis , 1985, Behavioral and Brain Sciences.

[3]  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).

[4]  Masahiro Fujita,et al.  Stair climbing for humanoid robots using stereo vision , 2004, 2004 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (IEEE Cat. No.04CH37566).

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

[6]  P. Gorce,et al.  Dynamic postural control method for biped in unknown environment , 1999, IEEE Trans. Syst. Man Cybern. Part A.

[7]  Philippe Gorce,et al.  Dynamic control of bipeds using ankle and hip strategies , 2002, IEEE/RSJ International Conference on Intelligent Robots and Systems.

[8]  Shuuji Kajita,et al.  A Humanoid Robot Carrying a Heavy Object , 2005, Proceedings of the 2005 IEEE International Conference on Robotics and Automation.

[9]  Shuuji Kajita,et al.  Motion Suspension System for Humanoids in case of Emergency; Real-time Motion Generation and Judgment to suspend Humanoid , 2006, 2006 IEEE/RSJ International Conference on Intelligent Robots and Systems.

[10]  Shuuji Kajita,et al.  Biped Walking Pattern Generator allowing Auxiliary ZMP Control , 2006, 2006 IEEE/RSJ International Conference on Intelligent Robots and Systems.

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

[12]  Dragomir N. Nenchev,et al.  Ankle and hip strategies for balance recovery of a biped subjected to an impact , 2008, Robotica.

[13]  Yoshikazu Kanamiya,et al.  Inertia-coupling based balance control of a humanoid robot on unstable ground , 2008, Humanoids 2008 - 8th IEEE-RAS International Conference on Humanoid Robots.

[14]  Tatsuo Arai,et al.  Emergent stop for Humanoid Robots , 2006, 2006 IEEE/RSJ International Conference on Intelligent Robots and Systems.

[15]  Atsushi Konno,et al.  A Humanoid Robot that Breaks Wooden Boards Applying Impulsive Force , 2006, 2006 IEEE/RSJ International Conference on Intelligent Robots and Systems.

[16]  Ambarish Goswami,et al.  A Biomechanically Motivated Two-Phase Strategy for Biped Upright Balance Control , 2005, Proceedings of the 2005 IEEE International Conference on Robotics and Automation.

[17]  Shuuji Kajita,et al.  Pushing manipulation by humanoid considering two-kinds of ZMPs , 2003, 2003 IEEE International Conference on Robotics and Automation (Cat. No.03CH37422).

[18]  Kazuya Yoshida,et al.  Reaction null-space control of flexible structure mounted manipulator systems , 1999, IEEE Trans. Robotics Autom..

[19]  Philippe Poignet,et al.  Artificial locomotion control: from human to robots , 2004, Robotics Auton. Syst..

[20]  Dragomir N. Nenchev,et al.  Balance Control of a Humanoid Robot Based on the Reaction Null Space Method , 2006, 2006 IEEE/RSJ International Conference on Intelligent Robots and Systems.

[21]  F. Horak,et al.  Vestibular rehabilitation: An exercise approach to managing symptoms of vestibular dysfunction , 1989 .

[22]  F. Horak,et al.  Postural perturbations: new insights for treatment of balance disorders. , 1997, Physical therapy.

[23]  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).

[24]  Shuuji Kajita,et al.  Motion Planning of Emergency Stop for Humanoid Robot by State Space Approach , 2006, 2006 IEEE/RSJ International Conference on Intelligent Robots and Systems.

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

[26]  Y. Pai,et al.  Predicted region of stability for balance recovery: motion at the knee joint can improve termination of forward movement. , 2000, Journal of biomechanics.