Inverted pendulum model for turn-planning for biped robot

Abstract Based on the inverted pendulum model, gait planning of biped robot is carried out, which makes it walk steadily and realizes steering in one step. Aiming at the stability of the turning poses of the humanoid robot, this paper studies the landing stability analysis of the robot, the planning and control of landing after turning, improves the inverted pendulum model, and introduces the turning angle to the model of trajectory generation. By this method, the robot can plan a more reasonable gait trajectory of the real robot when turning, and achieve a single-step sharp turn at any angle, thereby making the robot walk more smoothly. Based on ROS and V-rep, the robot simulation platform was constructed, the hardware experimental platform was self-made, and the feasibility of gait planning method was verified by simulation and experiments respectively. The experiment results showed that the turning error of the robot on the plane was less than 6°.

[1]  Qiang Huang,et al.  Walking Pattern Generation for Humanoid Robot Considering Upper Body Motion , 2006, 2006 IEEE/RSJ International Conference on Intelligent Robots and Systems.

[2]  Xiaohui Yuan,et al.  Automatic feature point detection and tracking of human actions in time-of-flight videos , 2017, IEEE/CAA Journal of Automatica Sinica.

[3]  Nima Shafii,et al.  An optimized gait generator based on fourier series towards fast and robust biped locomotion involving arms swing , 2009, 2009 IEEE International Conference on Automation and Logistics.

[4]  Abderrahmane Kheddar,et al.  Stair Climbing Stabilization of the HRP-4 Humanoid Robot using Whole-body Admittance Control , 2018, 2019 International Conference on Robotics and Automation (ICRA).

[5]  Zai-jun Wang,et al.  Omni-directional Walking Gait and Path Planning for Biped Humanoid Robot , 2013 .

[6]  Xiaohui Yuan,et al.  Inverse Sparse Group Lasso Model for Robust Object Tracking , 2017, IEEE Transactions on Multimedia.

[7]  Atsuo Takanishi,et al.  Development of a bipedal humanoid robot-control method of whole body cooperative dynamic biped walking , 1999, Proceedings 1999 IEEE International Conference on Robotics and Automation (Cat. No.99CH36288C).

[8]  Patrick MacAlpine,et al.  Overlapping layered learning , 2018, Artif. Intell..

[9]  Han Zhao,et al.  Adaptive Robust Constraint-Following Control for Lower Limbs Rehabilitation Robot , 2018, 2018 IEEE International Conference on Mechatronics, Robotics and Automation (ICMRA).

[10]  Xiaohui Yuan,et al.  A hybrid framework for automatic joint detection of human poses in depth frames , 2018, Pattern Recognit..

[11]  Kazuhito Yokoi,et al.  Hardware improvement of Cybernetic Human HRP-4C for entertainment use , 2011, 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems.

[12]  Kazuhito Yokoi,et al.  The 3D linear inverted pendulum mode: a simple modeling for a biped walking pattern generation , 2001, Proceedings 2001 IEEE/RSJ International Conference on Intelligent Robots and Systems. Expanding the Societal Role of Robotics in the the Next Millennium (Cat. No.01CH37180).

[13]  Masayuki Inaba,et al.  The experimental humanoid robot H7: a research platform for autonomous behaviour , 2007, Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences.

[14]  Kazuhito Yokoi,et al.  A high stability, smooth walking pattern for a biped robot , 1999, Proceedings 1999 IEEE International Conference on Robotics and Automation (Cat. No.99CH36288C).

[15]  Oussama Khatib,et al.  Springer Handbook of Robotics , 2007, Springer Handbooks.

[16]  Wang Yu,et al.  Research on the Walking Modes Shifting Based on the Variable ZMP and 3-D.O.F Inverted Pendulum Model for a Humanoid and Gorilla Robot , 2006, 2006 IEEE/RSJ International Conference on Intelligent Robots and Systems.

[17]  Mohamed Elhoseny,et al.  Collaborative task assignment of interconnected, affective robots towards autonomous healthcare assistant , 2019, Future Gener. Comput. Syst..

[18]  Yi Zheng,et al.  Human Motion Capture System Based 3D Reconstruction on Rehabilitation Assistance Stability of Lower Limb Exoskeleton Robot Climbing Upstairs Posture , 2020, IEEE Sensors Journal.

[19]  Hao Wang,et al.  Personality driven task allocation for emotional robot team , 2018, Int. J. Mach. Learn. Cybern..

[20]  Tatsuo Arai,et al.  Direct comparison of psychological evaluation between virtual and real humanoids: Personal space and subjective impressions , 2014, Int. J. Hum. Comput. Stud..

[21]  Michele Folgheraiter,et al.  A neuromorphic control architecture for a biped robot , 2019, Robotics Auton. Syst..

[22]  Youngbum Jun,et al.  Controlling and maximizing humanoid robot pushing force through posture , 2012, 2012 9th International Conference on Ubiquitous Robots and Ambient Intelligence (URAI).