Motion Planning for Humanoid Robots in Complex Environments Based on Stance Sequence and ZMP Reference

Abstract:

It is a great challenge to plan motion for humanoid robots in complex environments especially when the terrain is cluttered and discrete. To address this problem, a novel method is proposed in this paper by planning the gait according to the stance sequence and ZMP (Zero Moment Point) reference. It consists of two components: an adaptive footstep planner and a walking pattern generator. The adaptive footstep planner can generate the stance path according to the walking rules and adjust the orientation of body relevantly. As the footstep locations are determined, Linear Inverted Pendulum Model (LIPM) is used to generate the walking pattern with a moving ZMP reference. As demonstrated in experiments on the humanoid robot HOAP-2, our method can successfully plan footstep trajectories as well as generate the stable and natural-looking gait in typical cluttered and discrete environments.

• Periodical: Applied Mechanics and Materials (Volume 197)
• Pages: 415-422
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.197.415
• Online since: September 2012
• Authors: Hong Liu, Qing Sun
• Keywords: Footstep Planning, Mechanic, Motion Planning, Robot

References

[1] K. Hauser, T. Bretl, K. Harada and J. C. Latombe, Using Motion Primitives in Probabilistic Sample-Based Planning for Humanoid Robots, in Workshop on the Algorithmic Foundations of Robotics, (2006).

DOI: 10.1007/978-3-540-68405-3_32

[2] K. Harada, S. Hattori and H. Hirukawa, Motion Planning for Walking Pattern Generation of Humanoid Robots, in IEEE/RSJ International Conference on Intelligent Robots and Systems, pp.4227-4233, (2007).

DOI: 10.1109/iros.2007.4399209

[3] J. Kuffner, K. Nishiwaki and S. Kagami, Footstep Planning Among Obstacle for Biped Robots, in IEEE International Conference on Intelligent Robots and Systems, pp.500-505, (2001).

DOI: 10.1109/iros.2001.973406

[4] L. E. Kavraki, P. Svestka, J. C. Latombe and M. H. Overmars, "Probabilistic roadmaps for fast path planning in high-dimensional configuration spaces, in IEEE Transactions on Robotics and Automation, pp.566-580, (1996).

DOI: 10.1109/70.508439

[5] S. M. LaValle and J. J. Kuffner, "Rapidly-exploring random trees: Progress and prospects, in Workshop on Algorithmic Foundation of Robotics, pp.293-308, (2000).

[6] H. Liu, W. W. Wan and H. B. Zha, A dynamic subgoal path planner for unpredictable environments, in IEEE International Conference on Robotics and Automation, pp.994-1001, (2010).

DOI: 10.1109/robot.2010.5509324

[7] S. Kajita, F. Kanehiro, K. Kaneko, K. Fujiwara, K. Harada, K. Yokoi and H. Hirukawa, Biped Walking Pattern Generation by Using Preview Control of Zero-Moment Point, in IEEE International Conference on Robotics and Automation, pp.1620-1626, (2003).

DOI: 10.1109/robot.2003.1241826

[8] K. K. Noh, J. G. Kim and U. Y. Huh, Stability Experiment of a Biped Walking Robot with Inverted Pendulum, in the IEEE Conference of Industrial Electronics Society, pp.2475-2479 , (2004).

DOI: 10.1109/iecon.2004.1432189

[9] R. Cupec, G. Schmidt, O. Lorch, Experiments in Vision-Guided Robot Walking in a Structured Scenario, in IEEE International Symposium on Industrial Electronics, pp.1581-1586, (2005).

DOI: 10.1109/isie.2005.1529168

[10] J. Chestnutt, M. Lau, G. Cheung, J. Kuffner, J. Hodgins and T. Kanade, Footstep Planning for the Honda ASIMO Humanoid, in IEEE International Conference on Robotics and Automation, p.629, (2005).

DOI: 10.1109/robot.2005.1570188

[11] J. Chestnutt, Y. Takaoka, M. Doi, K. Suga and S. Kagami, Safe adjustment regions for legged locomotion paths, in IEEE International Conference on Humanoid Robots, pp.224-229, (2010).

DOI: 10.1109/ichr.2010.5686829

[12] M. Philipp, J. Chestnutt, J. Kuffner and T. Kanade, Vision-Guided Humanoid Footstep Planning for Dynamic Environments, in IEEE International Conference on Humanoid Robots, pp.13-18, (2005).

DOI: 10.1109/ichr.2005.1573538

[13] J. Chestnutt, Navigation Planning for Legged Robots, [PhD. Thesis], CMU-RI-TR-56-23, Nov. 2007, The Robotics Institute, Carnegie Mellon University, Pittsburgh, Pennsylvania USA.

[14] S. Kajita, O. Matsumoto and M. Saigo, Real-time 3D walking pattern generation for a biped robot with telescopic legs, in in IEEE International Conference on Robotics and Automation, pp.2299-2306, (2001).

DOI: 10.1109/robot.2001.932965

[15] K. Erbatur, A. Okazaki, K. Obiya, T. Takahashi and A. Kawamura, AStudy on the Zero Moment Point Measurement for Biped Walking Robots, in International Workshop on Advanced Motion Control, pp.431-436, (2002).

DOI: 10.1109/amc.2002.1026959

[16] C. Zhu, Y. Tomizawa, X. Luo and A. Kawamura, Biped Walking with Variable ZMP, Frictional Constraint, and Inverted Pendulum Model, in IEEE International Conference on Robotics and Biomimetics, pp.425-430, (2004).

DOI: 10.1109/robio.2004.1521816