Trajectory tracking using artificial neural network for stable human-like gait with upper body motion

This paper presents a trajectory generation algorithm for robots which can walk like human with movable foot and active toe. The proposed algorithm allows smooth transition between walking phases namely, single and double support phases. A neural network approach is used for solving inverse kinematics so that the biped robot follows the ankle and hip trajectories to walk. Zero moment point (ZMP) stability is ensured by taking into account the upper body movements along with the planned motion trajectories. Here, we analyze the effect of lateral upper body motion on ZMP stability. Different types of trajectories for upper body are generated, and the one which ensured the most stable locomotion is identified.

[1]  Masayuki Inaba,et al.  Toe joints that enhance bipedal and fullbody motion of humanoid robots , 2002, Proceedings 2002 IEEE International Conference on Robotics and Automation (Cat. No.02CH37292).

[2]  Toshikazu Kawasaki,et al.  Design of prototype humanoid robotics platform for HRP , 2002, IEEE/RSJ International Conference on Intelligent Robots and Systems.

[3]  L. Canan Dülger,et al.  A New Artificial Neural Network Approach in Solving Inverse Kinematics of Robotic Arm (Denso VP6242) , 2016, Comput. Intell. Neurosci..

[4]  Masahiro Fujita,et al.  Digital creatures for future entertainment robotics , 2000, Proceedings 2000 ICRA. Millennium Conference. IEEE International Conference on Robotics and Automation. Symposia Proceedings (Cat. No.00CH37065).

[5]  Minzhou Luo,et al.  An Experimental Analysis of Overcoming Obstacle in Human Walking , 2014 .

[6]  Wei Xu,et al.  An improved ZMP trajectory design for the biped robot BHR , 2011, 2011 IEEE International Conference on Robotics and Automation.

[7]  Atsuo Takanishi,et al.  REALIZATION OF DYNAMIC WALKING BY THE BIPED WALKING ROBOT WL-10RD. , 1985 .

[8]  Marte A. Ramírez-Ortegón,et al.  Polynomial trajectory algorithm for a biped robot , 2014, Int. J. Robotics Autom..

[9]  Prahlad Vadakkepat,et al.  Soccer playing humanoid robots: Processing architecture, gait generation and vision system , 2009, Robotics Auton. Syst..

[10]  O. Narvez-Aroche,et al.  Kinematic Analysis and Computation of ZMP for a 12-internal-dof Biped Robot , 2011 .

[11]  M. Husty,et al.  A new and efficient algorithm for the inverse kinematics of a general serial 6R manipulator , 2007 .

[12]  Jong Hyeon Park,et al.  Fuzzy-logic zero-moment-point trajectory generation for reduced trunk motions of biped robots , 2003, Fuzzy Sets Syst..

[13]  Adrian-Vasile Duka,et al.  Neural Network based Inverse Kinematics Solution for Trajectory Tracking of a Robotic Arm , 2014 .

[14]  Hongbo Zhu,et al.  Optimization-based gait planning and control for biped robots utilizing the optimal allowable ZMP variation region , 2018, Ind. Robot.

[15]  Kazuhito Yokoi,et al.  Planning walking patterns for a biped robot , 2001, IEEE Trans. Robotics Autom..

[16]  Atsuo Takanishi,et al.  Locomotion pattern generation and mechanisms of a new biped walking machine , 2007, Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences.

[17]  Byung Kook Kim,et al.  Energy-Efficient Gait Planning and Control for Biped Robots Utilizing the Allowable ZMP Region , 2014, IEEE Transactions on Robotics.

[18]  Tad McGeer,et al.  Passive walking with knees , 1990, Proceedings., IEEE International Conference on Robotics and Automation.

[19]  Jungwon Yoon,et al.  Hybrid toe and heel joints for biped/humanoid robots for natural gait , 2007, 2007 International Conference on Control, Automation and Systems.

[20]  Abhishek Sarkar,et al.  8-DoF biped robot with compliant links , 2014, 2014 13th International Conference on Control Automation Robotics & Vision (ICARCV).

[21]  K. Erbatur,et al.  Humanoid Walking Robot Control with Natural ZMP References , 2006, IECON 2006 - 32nd Annual Conference on IEEE Industrial Electronics.

[22]  Zhu Xiaoguang,et al.  Research on Humanoid Robot Slope Gait Planning , 2015 .

[23]  Ruchi Panwar,et al.  Stable polynomial gait of a biped robot with Toe joint , 2017, 2017 4th IEEE Uttar Pradesh Section International Conference on Electrical, Computer and Electronics (UPCON).

[24]  Christine Chevallereau,et al.  Stable walking control of a 3D biped robot with foot rotation , 2013, Robotica.

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

[26]  Javier de Lope Asiaín,et al.  Inverse Kinematics for Humanoid Robots Using Artificial Neural Networks , 2003, EUROCAST.

[27]  Jing Liu,et al.  Bipedal walking with dynamic balance that involves three-dimensional upper body motion , 2016, Robotics Auton. Syst..

[28]  Olivier Stasse,et al.  Strategies for Humanoid Robots to Dynamically Walk Over Large Obstacles , 2009, IEEE Transactions on Robotics.

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