Walking Motion Trajectory of Hip Powered Orthotic Device Using Quintic Polynomial Equation

In lower limb exoskeleton system walking motion profile generation, cubic polynomial is commonly used to generate smooth walking profile on flexion angle, velocity and acceleration data of three joint movements (ankle, knee and hip joints). However, cubic polynomial does not closely matched human motion. For this reason, a higher-order-polynomial i.e. quintic polynomial is proposed to gene- rate walking motion profile. Error analysis was conducted to measure how closely quintic polynomial could represent human walking motion profile. Result shows that quantic polynomial could closely represent human walking trajectory with maximum RMS error of 0.2607rad occurred during mid-swing phase.

[1]  Jaynendra Kumar Rai,et al.  Quintic polynomial trajectory of biped robot for human-like walking , 2014, 2014 6th International Symposium on Communications, Control and Signal Processing (ISCCSP).

[2]  Kazuhito Yokoi,et al.  Resolved momentum control: humanoid motion planning based on the linear and angular momentum , 2003, Proceedings 2003 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2003) (Cat. No.03CH37453).

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

[4]  John J. Craig,et al.  Introduction to robotics - mechanics and control (2. ed.) , 1989 .

[5]  Yoshiyuki Sankai,et al.  Task generation for humanoid robot walking using human motion by phase sequence , 2005, ROMAN 2005. IEEE International Workshop on Robot and Human Interactive Communication, 2005..

[6]  Bofeng Zhang,et al.  Human Walking Analysis, Evaluation and Classification Based on Motion Capture System , 2011 .

[7]  M. A. Nekoui,et al.  Inverse kinematic for an 8 degrees of freedom biped robot based on cubic polynomial trajectory generation , 2011, The 2nd International Conference on Control, Instrumentation and Automation.

[8]  Kiyoshi Ohishi,et al.  Gait control of biped robot based on kinematics and motion description in Cartesian space , 1997, Proceedings of the IECON'97 23rd International Conference on Industrial Electronics, Control, and Instrumentation (Cat. No.97CH36066).

[9]  Taha Zahari,et al.  Preliminary Investigation on the Development of a Lower Extremity Exoskeleton for Gait Rehabilitation: A Clinical Consideration , 2015 .

[10]  Toshio Fukuda,et al.  Natural motion generation of biped locomotion robot using hierarchical trajectory generation method consisting of GA, EP layers , 1997, Proceedings of International Conference on Robotics and Automation.