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Tip over avoidance control for biped robot

Published online by Cambridge University Press:  21 January 2009

Tang Qing ,
Xiong Rong  and
Chu Jian
Tang Qing
Affiliation:
State Key Laboratory of Industrial Control Technology, Zhejiang University, Hangzhou, Zhejiang Province 310027, P.R. China
Xiong Rong*
Affiliation:
State Key Laboratory of Industrial Control Technology, Zhejiang University, Hangzhou, Zhejiang Province 310027, P.R. China
Chu Jian
Affiliation:
State Key Laboratory of Industrial Control Technology, Zhejiang University, Hangzhou, Zhejiang Province 310027, P.R. China
*
*Corresponding author. E-mail: [email protected]
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Summary

This paper analyzes the stabilization problem from the energy point of view. Perturbations are detected by the gyros and categorized according to the constraints on the zero-moment point, energy, and walking pattern. Ankle torque is exerted to extend the linear inverted pendulum mode (LIPM). Compensation movement is computed according to the analysis on the energy of LIPM and the influence of disturbance to the energy. The experimental results from both the simulation and the physical robot not only proved effective but also explain various human reactions to disturbance in locomotion.

Keywords

StabilizationLIPMHumanoid robotCategorization of perturbations
Type
Article
Information
Robotica , Volume 27 , Issue 6 , October 2009 , pp. 883 - 889
Copyright
Copyright © Cambridge University Press 2009

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References

1.Yoshiaki, Sakagami, Watanabe, Ryujin, Aoyama, Chiaki, Matsunaga, Shinichi, Higaki, Nobuo and Fujimura, Kikuo, “The Intelligent ASIMO: System Overview and Integration,” Proceeding of the IEEE/RSJ International Conference on Intelligent robots and Systems EPFL, Lausanne, Switzerland (Oct. 2002) pp. 2478–2483.Google Scholar
2.Yu, Ogura, Lim, Hun-ok and Takanishi, Atsuo, “Development of a New Humanoid Robot WABIAN-2,” Proceedings of the IEEE International Conference on Robotics and Automation, Orlando, FL (2006).Google Scholar
3.Satoshi, Kagami, Nishiwaki, Koichi, Kuffner, James J. Jr, Kuniyoshi, Yasuo, Inaba, Masayuki and Inonue, Hirochika, “Online 3D Vision, Motion Planning and Bipedal Locomotion Control Coupling System of Humanoid Robot: H7,” Proceedings of the 2002 IEEE/RSJ International Conference on Intelligent Robots and Systems EPFL, Lausanne, Switzerland (Oct. 2002).Google Scholar
4.Kenji, Kaneko, Kanehiro, Fumio, Kajita, Shuuji, Hirukawa, Hirohisa, Kawasaki, Toshikazu, Hirata, Masaru, Akachi, Kazuhiko and Isozumi, Takakatsu, “Humanoid Robot HRP-2,” Proceeding of the IEEE International Conference on Robotics and Automation, New Orleans, LA (2004).CrossRefGoogle Scholar
5.Oh, Jun-Ho, Hanson, David, Kim, Won-Sup, Han, IlYoung, Kim, Jung-Yup and Park, Ill-Woo, “Design of Android Type Humanoid Robot Albert HUBO,” Proceedings of the International Conference on Intelligent Robots and Systems, Beijing, China (2006).Google Scholar
6.Miomir, Vukobratovic and Borovac, Branislav, “Zero-moment point—Thirty five years of its life,” Int. J. Human. Rob. 1 (1), 157–173 (2004).Google Scholar
7.Miomir, Vukobratovic and Borovac, Branislav, “ZMP: A review of some basic misunderstandings,” Int. J. Human. Rob. 3 (2), 153–175 (2006).Google Scholar
8.Philippe, Sardain and Bessonnet, Guy, “Forces acting on a biped robot. Center of pressure—Zero moment point,” IEEE Trans. Syst. Man Cybernet. Part A: Syst. Humans 34 (5), 630–637 (2004).Google Scholar
9.Ambarish, Goswami, “Foot Rotation Indicator (FRI) Point: A New Gait Planning Tool to Evaluate Postural Stability of Biped Robots,” Proceedings of the IEEE International Conference on Robotics & Automation, Detroit (1999) pp. 47–52.Google Scholar
10.Napoleon, Shigeki Nakaura and Sampei, Mitsuji, “Balance Control Analysis of Humanoid Robot Based on ZMP Feedback Control,” Proceedings of the 2002 IEEE/RSJ International Conference on Intelligent Robots and Systems, EPFL, Lausanne, Switzerland (Oct. 2002).Google Scholar
11.Tomomichi, Sugihara, Nakamura, Yoshihiko and Inoue, Hirochika, “Realtime Humanoid Motion Generation Through ZMP Manipulation Based on Inverted Pendulum Control,” Proceedings of the 2002 IEEE International Conference on Robotics and automation, Washington, DC (May 2002).Google Scholar
12.Vadakkepat, Prahlad, Dip, Goswami and Meng-Hwee, Chia, “Disturbance rejection by online ZMP compensation,” Robotica 26 (1), 9–17 (2008).Google Scholar
13.Jacky, Baltes, McGrath, Sara and Anderson, John, “The Use of Gyroscope Feedback in the Control of the Walking Gaits for a Small Humanoid Robot,” Proceedings CD RoboCup, Springer-Verlag, Osaka, Japan (Jul. 2005).CrossRefGoogle Scholar
14.Jacky, Baltes, McGrath, Sara and Anderson, John, “Active Balancing Using Gyroscopes for a Small Humanoid Robot,” 2nd International Conference on Autonomous Robots and Agents, Palmerston North, New Zealand (Dec. 13–15, 2004).Google Scholar
15.Reimund, Renner and Behnke, Sven, “Instability Detection and Fall Avoidance for a Humanoid Using Attitude Sensors and Reflexes,” Proceedings of the 2006 IEEE/RSJ International Conference on Intelligent Robots and Systems, Beijing, China (Oct. 9–15, 2006).CrossRefGoogle Scholar
16.Taku, Komura, Leung, Howard, Kudoh, Shunsuke and Kuffner, James, “A Feedback Controller for Biped Humanoids that Can Counteract Large Perturbations During Gait,” Proceedings of the 2005 IEEE International Conference on Robotics and Automation, Barcelona, Spain (Apr. 2005).Google Scholar
17.Shuuji, Kajita, Kanehiro, Fumio, Kaneko, Kenji, Fujiwara, Kiyoshi, Yokoi, Kazuhito and Hirukawa, Hirohisa, “Biped walking pattern generation by a simple three-dimensional inverted pendulum model,” Adv. Rob. 17 (2), 131–147 (2003).Google Scholar
18.Shuuji, Kajita and Tani, Kazuo, “Experimental Study of Biped Dynamic Walking in the Linear Inverted Pendulum Mode,” IEEE International Conference on Robotics and Automation Nagoya, Japan (May 21–27, 1995).Google Scholar
19.Qiang, Huang, Yokoi, Kazuhito, Kaijita, Shuuji, Kaneko, Kenji, Arai, Hirohiko, Koyachi, Noriho and Tanie, Kazuo, “Planning Walking Patterns for a Biped Robot”. IEEE Transaction on Robotics and Automation, Seoul, Korea (Jun. 2001).Google Scholar
20.Kensuke, Harada, Kaijita, Shuuji, Kaneko, Kenji and Hirukawa, Hirohisa, “‘Dynamics and balance of a humanoid robot during manipulation tasks,” IEEE Trans. Rob. 22 (3), 568–575 (Jun. 2006).Google Scholar
21.Shuuji, Kajita, Nagasaki, Takashi, Kaneko, Kenji and Hirukawa, Hirohisa, “ZMP-based biped running control,” IEEE Rob. Automat. Mag. 14 (2), 63–72 (Jun. 2007).Google Scholar