On the Hexapod Leg Control with Nonlinear Stick-Slip Vibrations

Article Preview

Abstract:

In the paper the control problem of the six-legged walking robot is studied. In order to find the relationship between commonly used by insects gaits (trajectory of the foot point) and stable trajectory of mechanical systems, at first we analyse various previous papers and the gaits of the real insects. For control the motion of the tip of the robot leg a nonlinear mechanical oscillator describing stick-slip induced vibrations further referred as central pattern generator (CPG) has been proposed. The advantages of the proposed model has been presented and compared with other previous applied mechanical oscillators. The possibility of control of the tip of the robot leg via changing parameters characterized oscillator working as a CPG has been discussed. Time series of the joints and configurations of the robot leg during walking are presented. The obtained numerical solutions indicate some analogies between the characteristics of the simulated walking robot and animals found in nature. Moreover, some aspects of an energy efficiency analysis (in order to reduce the energy costs) are discussed for the analysed system and the whole hexapod robot. In particular, we discuss the interplay of the proposed gait patterns and the system energy cost.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

12-24

Citation:

Online since:

October 2015

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2015 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

* - Corresponding Author

[1] T. Zielińska, Biological inspiration used for robots motion synthesis, J. Phisiol. 103 (2009) 133-140.

Google Scholar

[2] T. Zielińska, C.M. Chew, P. Kryczka, T. Jargilo, Robot gait synthesis using the scheme of human motion skills development, Mech. Mach. Theory 44(3) (2009) 541-558.

DOI: 10.1016/j.mechmachtheory.2008.09.007

Google Scholar

[3] W. Chen, G. Ren, J. Zhang, J. Wang, Smooth transition between different gaits of a hexapod robot via a central pattern generators algorithm, J. Intell. Robot. Syst. 67 (2012) 255-270.

DOI: 10.1007/s10846-012-9661-1

Google Scholar

[4] B. Jin, C. Chen, W. Li, Power consumption optimization for a hexapod walking robot, J. Intell. Robot. Syst. 71 (2013) 195-209.

DOI: 10.1007/s10846-012-9771-9

Google Scholar

[5] R. Altendorfer, N. Moore, H. Komsuoglu, M. Buehler, H.B. Brown jn., D. McMordie, U. Saranli, R. Full, D.E. Koditschek, Hex: a biologically inspired hexapod runner, Auton. Robot. 11 (2001) 207-213.

DOI: 10.1023/a:1012426720699

Google Scholar

[6] M.S. Erden, Optimal protraction of a biologically inspired robot leg, J. Intell. Robot. Syst. 64(3, 4) (2011) 301-322.

DOI: 10.1007/s10846-011-9538-8

Google Scholar

[7] J. Nishii, Legged insects select the optimal locomotor pattern based on the energetic cost, Biol. Cybern. 83 (2000) 435-442.

DOI: 10.1007/s004220000175

Google Scholar

[8] J. Nishii, An analytical estimation of the energy cost for legged locomotion, J. Theor. Biol. 238 (2006) 636-645.

DOI: 10.1016/j.jtbi.2005.06.027

Google Scholar

[9] T.A. Guardabrazo, P. Gonzalez de Santos, Building an energetic model to evaluate and optimize power consumption in walking robots, Ind. Robot. 31(11) (2004) 201-208.

DOI: 10.1108/01439910410522874

Google Scholar

[10] P. Gonzalez de Santos, E. Garcia, R. Ponticelli, M. Armada, Minimizing energy consumption in hexapod robots, Adv. Robot. 23 (2009) 681-704.

DOI: 10.1163/156855309x431677

Google Scholar

[11] E. Garcia, J.A. Galvez, P. Gonzalez de Santos, On finding the relevant dynamics for model-based controlling walking robots, J. Intell. Robot. Syst. 37 (2003) 375-398.

Google Scholar

[12] P. Gonzalez de Santos, J. Estremera, E. Garcia, Optimizing leg distribution around the body in walking robots, in: Proceedings of the 2005 IEEE International Conference on Robotics and Automation, Barcelona, Spain, (2005).

DOI: 10.1109/robot.2005.1570604

Google Scholar

[13] V. Durr, J. Schmitz, H. Cruse, Behaviour-based modelling of hexapod locomotion: linking biology and technical application, Arthropod Struct. Dev. 33(3) (2004) 237-250.

DOI: 10.1016/j.asd.2004.05.004

Google Scholar

[14] M. Schilling, T. Hoinville, J. Schmitz, H. Cruse, Walknet, a bio-inspired controller for hexapod walking, Biol. Cybern. 107 (2013) 397-419.

DOI: 10.1007/s00422-013-0563-5

Google Scholar

[15] J. Zhao, H. Zhang, Y.B. Liu, J.H. Yan, X.Z. Zang, Z.W. Zhou, Development of the hexapod robot HITCR-II for walking on unstructured terrain, in: Proceedings of 2012 IEEE International Conference on Mechatronics and Automation, Chengdu, China, 2012, 64-69.

DOI: 10.1109/icma.2012.6282808

Google Scholar

[16] A. Cohen, P. Holmes, R. Rand, The nature of the coupling between segmental oscillators of the lamprey spinal generator or locomotion: a mathematic model, J. Math. Biol. 13 (1982) 345-369.

DOI: 10.1007/bf00276069

Google Scholar

[17] M. Piątek, Robot's control problems - central pattern generators, Doctoral thesis - supervisor Andrzej Turnau, University of Mining and Metallurgy, Krakow, Poland, 2012, 163 pages (in Polish).

Google Scholar

[18] A. Ijspeert, Central pattern generators for locomotion control in animals and robots: a review, Neural Netw. 21(4) (2008) 642-653.

DOI: 10.1016/j.neunet.2008.03.014

Google Scholar

[19] S. Steingrube, M. Timme, F. Wörgötter, P. Manoonpong, Self-organized adaptation of a simple neural circuit enables complex robot behaviour, Nat. Phys. 6 (2010) 224-230.

DOI: 10.1038/nphys1508

Google Scholar