Hostname: page-component-8448b6f56d-cfpbc Total loading time: 0 Render date: 2024-04-19T01:01:12.163Z Has data issue: false hasContentIssue false

Motion planning and implementation for the self-recovery of an overturned multi-legged robot

Published online by Cambridge University Press:  23 December 2015

Saijin Peng
Affiliation:
School of Mechanical Engineering and Automation, Beihang University, Beijing, P. R. China E-mails: saijin.peng@buaa.edu.cn, robot.fan@me.buaa.edu.cn, xk_sea@163.com.
Xilun Ding*
Affiliation:
School of Mechanical Engineering and Automation, Beihang University, Beijing, P. R. China E-mails: saijin.peng@buaa.edu.cn, robot.fan@me.buaa.edu.cn, xk_sea@163.com.
Fan Yang
Affiliation:
School of Mechanical Engineering and Automation, Beihang University, Beijing, P. R. China E-mails: saijin.peng@buaa.edu.cn, robot.fan@me.buaa.edu.cn, xk_sea@163.com.
Kun Xu
Affiliation:
School of Mechanical Engineering and Automation, Beihang University, Beijing, P. R. China E-mails: saijin.peng@buaa.edu.cn, robot.fan@me.buaa.edu.cn, xk_sea@163.com.
*
*Corresponding author. E-mail: xlding@buaa.edu.cn

Summary

This paper first presents a method of motion planning and implementation for the self-recovery of an overturned six-legged robot. Previous studies aimed at the static and dynamic stabilization of robots for preventing them from overturning. However, no one can guarantee that an overturn accident will not occur during various applications of robots. Therefore, the problems involving overturning should be considered and solved during robot design and control. The design inspirations of multi-legged robots come from nature, especially insects and mammals. In addition, the self-recovery approach of an insect could also be imitated by robots. In this paper, such a self-recovery mechanism is reported. The inertial forces of the dangling legs are used to bias some legs to touch the ground, and the ground reaction forces exerted on the feet of landing legs are achieved to support and push the body to enable recovery without additional help. By employing the mechanism, a self-recovery approach named SSR (Sidewise-Self-Recovery) is presented and applied to multi-legged robots. Experiments of NOROS are performed to validate the effectiveness of the self-recovery motions. The results show that the SSR is a suitable method for multi-legged robots and that the hemisphere shell of robots can help them to perform self-recovery.

Type
Articles
Copyright
Copyright © Cambridge University Press 2015 

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

1. Waldron, K. J., Vohnout, V. J., Pery, A. and McGhee, R. B., “Configuration design of the adaptive suspension vehicle,” Int. J. Robot. Res. 3 (2), 3748 (1984).CrossRefGoogle Scholar
2. Wilcox, B. H., Litwin, T., Biesiadecki, J., Matthews, J., Heverly, M., Morrison, J., Townsend, J., Ahmad, N., Sirota, A. and Cooper, B., “ATHLETE: A cargo handling and manipulation robot for the moon,” J. Field Robot. 24 (5), 421434 (2007).CrossRefGoogle Scholar
3. Cobano, J. A., Estremera, J. and de Santos, P. G., “Accurate tracking of legged robots on natural terrain,” Auton. Robot. 28 (2), 231244 (2010).CrossRefGoogle Scholar
4. Galloway, K. C., Clark, J. E. and Koditschek, D. E., “Variable stiffness legs for robust, efficient, and stable dynamic running,” J. Mech. Robot. 5 (1), 0110091 (2013).CrossRefGoogle Scholar
5. Saranli, U., Buehler, M. and Koditschek, D. E., “RHex: A simple and highly mobile hexapod robot,” Int. J. Robot. Res. 20 (7), 616631 (2001).CrossRefGoogle Scholar
6. McGhee, R. B. and Frank, A. A., “On the stability properties of quadruped creeping gaits,” Math. Biosci. 3, 331351 (1968).CrossRefGoogle Scholar
7. McGhee, R. B. and Iswandhi, G. I., “Adaptive locomotion of a multilegged robot over rough terrain,” IEEE Trans. Syst. Man and Cybern. 9 (4), 176182 (1979).CrossRefGoogle Scholar
8. Zhang, C. and Song, S., “Gaits and geometry of a walking chair for the disabled,” J. Terramech. 26 (3), 211233 (1989).CrossRefGoogle Scholar
9. Zhang, C. D. and Song, S. M., “Stability analysis of wave-crab gaits of a quadruped,” J. Robot. Syst. 7 (2), 243276 (1990).CrossRefGoogle Scholar
10. Messuri, D. A., “Optimization of the Locomotion of a Legged Vehicle with Respect to Maneuverability,” Ph.D. Thesis (The Ohio State University, Columbus, 1985).Google Scholar
11. Orin, D. E., “Interactive Control of a Six-Legged Vehicle with Optimization of Both Stability and Energy,” Ph.D. Thesis (The Ohio State University, Columbus, 1976).CrossRefGoogle Scholar
12. Yoneda, K. and Hirose, S., “Tumble Stability Criterion of Integrated Locomotion and Manipulation,” IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 1996), Osaka, Japan (Nov. 4–8, 1996), vol. 2, pp. 870–876.Google Scholar
13. Guanghua, Z., Zhicheng, D. and Wei, W., “Realization of a Modular Reconfigurable Robot for Rough Terrain,” IEEE International Conference on Mechatronics and Automation, Luoyang, China (Jun. 25–28, 2006) pp. 289–294.CrossRefGoogle Scholar
14. Kessens, C. C., Smith, D. C. and Osteen, P. R., “A Framework for Autonomous Self-Righting of a Generic Robot on Sloped Planar Surfaces,” IEEE International Conference on Robotics and Automation (ICRA 2012), Saint Paul, MN (May 14–18, 2012) pp. 4724–4729.CrossRefGoogle Scholar
15. Collins, J., Kessens, C. C. and Biggs, S. J., “Proprioceptive Sensing for Autonomous Self-Righting on Unknown Sloped Planar Surfaces,” IEEE International Symposium on Robotic and Sensors Environments (ROSE), Washington, DC (Oct. 21–23, 2013) pp. 160–165.CrossRefGoogle Scholar
16. Roan, P. R., Burmeister, A., Rahimi, A., Holz, K. and Hooper, D., “Real-World Validation of Three Tipover Algorithms for Mobile Robots,” IEEE International Conference on Robotics and Automation (ICRA 2010), Anchorage, AK (May 3–7, 2010) pp. 4431–4436.CrossRefGoogle Scholar
17. Saranli, U., Rizzi, A. A. and Koditschek, D. E., “Model-based dynamic self-righting maneuvers for a hexapedal robot,” Int. J. Robot. Res. 23 (9), 903918 (2004).CrossRefGoogle Scholar
18. Jung-Min, Y. and Jong-Hwan, K., “Fault-tolerant locomotion of the hexapod robot,” IEEE Trans. Syst. Man Cybern.–-part b: Cybern. 28 (1), 109116 (1998).CrossRefGoogle Scholar
19. Frantsevich, L., “Righting kinematics in beetles (Insecta: Coleoptera),” Arthropod Struct. Dev. 33 (3), 221235 (2004).CrossRefGoogle Scholar
20. Domokos, G. and Várkonyi, P. L., “Geometry and self-righting of turtles,” Proc. R. Soc. B, 275 (1630), 1117 (2008).CrossRefGoogle Scholar
21. Ana, G., Ljiljana, T. and Ana, I., “Geometry of self righting: The case of Hermann's tortoises,” Zool. Anz. 254, 99105 (2015).CrossRefGoogle Scholar
24. Wang, Z., Ding, X., Rovetta, A. and Giusti, A., “Mobility analysis of the typical gait of a radial symmetrical six-legged robot,” Mechatronics 21 (7), 11331146 (2011).CrossRefGoogle Scholar
25. Xu, K. and Ding, X., “Typical gait analysis of a six-legged robot in the context of metamorphic mechanism theory,” Chin. J. Mech. Eng. 26 (4), 771783 (2013).CrossRefGoogle Scholar
26. Ding, X., Li, K. and Xu, K., “Dynamics and wheel's slip ratio of a wheel-legged robot in wheeled motion considering the change of height,” Chin. J. Mech. Eng. 25 (5), 10601067 (2012).CrossRefGoogle Scholar
27. Craig, J. J., Introduction to Robotics: Mechanics and Control, (Upper Saddle River, NJ, USA: Pearson/Prentice Hall, 2005).Google Scholar