Abstract
In this paper, an experimental analysis of overcoming obstacle in human walking is carried out by means of a motion capture system. In the experiment, the lower body of an adult human is divided into seven segments, and three markers are pasted to each segment with the aim to obtain moving trajectory and to calculate joint variation during walking. Moreover, kinematic data in terms of displacement, velocity and acceleration are acquired as well. In addition, ground reaction forces are measured using force sensors. Based on the experimental results, features of overcoming obstacle in human walking are analyzed. Experimental results show that the reason which leads to smooth walking can be identified as that the human has slight movement in the vertical direction during walking; the reason that human locomotion uses gravity effectively can be identified as that feet rotate around the toe joints during toe-off phase aiming at using gravitational potential energy to provide propulsion for swing phase. Furthermore, both normal walking gait and obstacle overcoming gait are characterized in a form that can provide necessary knowledge and useful databases for the implementation of motion planning and gait planning towards overcoming obstacle for humanoid robots.
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References
Faure F, Debunne G, Cani-Gascuel M P, Multon F. Dynamic analysis of human walking. Proceedings of the Eurographics Workshop on Computer Animation and Simulation, Budapest, Hungary, 1997, 53–65.
Öberg T. Motion analysis in clinical biomechanics. Biomechanics of Musculoskeletal System-Medical Robotics, Polish Academy of Science, Warsaw, 2000.
Adrian M, Cooper J. Biomechanics of Human Movement, Benchmark Press, Indianapolis, 1995.
Luo X, Xu W L. Planning and control for passive dynamics based walking of 3D biped robots. Journal of Bionic Engineering, 2012, 9, 143–155.
Koeda M, Ito T, Yoshikawa T. Shuffle turning in humanoid robots through load distribution control of the soles. Robotica, 2011, 29, 1017–1024.
Kim J Y, Park I W, Oh J H. Realization of dynamic stair climbing for biped humanoid robot using force/torque sensors. Journal of Intelligent and Robotic Systems, 2009, 56, 389–423.
Guan Y S, Yokoi K, Tanie K. Feasibility: Can humanoid robots overcome given obstacles? Proceedings of the IEEE International Conference on Robotics and Automation, Barcelona, Spain, 2005, 1054–1059.
Verrelst B, Stasse O, Yokoi K, Vanderborght B. Dynamically stepping over obstacles by the humanoid robot HRP-2. Proceedings of the 6th IEEE-RAS International Conference on Humanoid Robots, Genova, Italy, 2006, 117–123.
Chiang M H, Chang F R. Anthropomorphic design of the human-like walking robot. Journal of Bionic Engineering, 2013, 10, 186–193.
Qian K, Ma X D, Dai X Z, Fang F. Robotic etiquette: Socially acceptable navigation of service robots with human motion pattern learning and prediction. Journal of Bionic Engineering, 2010, 7, 150–160.
Ottaviano E, Ceccarelli M, Palmucci F. An application of CaTraSys, a cable-based parallel measuring system for an experimental characterization of human walking. Robotica, 2010, 28, 119–133.
Boutin L, Eon A, Zeghloul S, Lacouture P. An auto-adaptable algorithm to generate human-like locomotion for different humanoid robots based on motion capture data. Proceedings of International Conference on Intelligent Robots and Systems (IROS), Taipei, China, 2010, 1256–1261.
Boutin L, Eon A, Zeghloul S, Lacouture P. From human motion capture to humanoid locomotion imitation application to the robots HRP-2 and HOAP-3. Robotica, 2011, 29, 325–334.
Draganich L F, Kuo C E. The effects of walking speed on obstacle crossing in healthy young and healthy older adults. Journal of Biomechanical Engineering, 2004, 37, 889–896.
Krell J, Patla A E. The influence of multiple obstacles in the travel path on avoidance strategy. Gait Posture, 2002, 16, 15–19.
Chou L S, Kaufman K R, Brey R H, Draganich L F. Motion of the whole body’s center of mass when stepping over obstacles of different heights. Gait Posture, 2001, 13, 17–26.
Lowrey C R, Watson A, Vallis L A. Age-related changes in avoidance strategies when negotiating single and multiple obstacles. Experimental Brain Research, 2007, 182, 289–299.
Patla A E, Vickers J N. Where and when do we look as we approach and step over an obstacle in the travel path? Neuroreport, 1997, 8, 3661–3665.
Patla A E, Greig M. Anyway you look at it successful obstacle negotiation needs visually guided on-line foot placement regulation during the approach phase. Neuroscience Letters, 2006, 397, 110–114.
MacLellan M J, Patla A E. Stepping over an obstacle on a compliant travel surface reveals adaptive and maladaptive changes in locomotion patterns. Experimental Brain Research, 2006, 173, 531–538.
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Li, T., Ceccarelli, M., Luo, M. et al. An Experimental Analysis of Overcoming Obstacle in Human Walking. J Bionic Eng 11, 497–505 (2014). https://doi.org/10.1016/S1672-6529(14)60062-7
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DOI: https://doi.org/10.1016/S1672-6529(14)60062-7