Za'balawi, I.I. and Kiong, L.C. and Kiong, W.E. and Senanayake, S.M.N.A. (2009) Global entrainment effect on biped robot locomotion energy. International Journal of Robotics and Automation, 24 (6). ISSN 0826-8185,
Full text not available from this repository.Abstract
In recent years, many researchers have studied the generation of rhythmic movement emerge as a stable limit cycle from global entrainment between biological neural networks that include central pattern generators (CPGs) and physical systems (i.e. robot arm) interacting with external environment. However, the e�ect of global entrainment on biped locomotion energy has yet to be addressed. This paper delineates an approach to minimize biped�s locomotion energy by means of global entrainment. The rhythmic movements for biped locomotion such as walking and running are generated by CPG using coupled nonlinear oscillators of Van Der Pol (VDP). Tuning VDP oscillator parameters to meet certain criteria (i.e. minimum energy) is a di�cult task to accomplish. This is due to the nonlinearity and the coupling of the oscillators. To overcome these di�culties, response surface methodology (RSM) has been proposed to characterize VDP parameters to achieve e�cient energy for biped locomotion. Then, global entrainment has been implemented between �ve-link biped robot and the constructed CPG. As a result, the sensory information modulates VDP oscillators� frequencies and tuned them to the resonance frequencies of the biped link lengths. The obtained results show an evidence of the importance of global entrainment in achieving lower energy for biped locomotion while maintaining the same or even higher forward velocity.
| Item Type: | Article |
|---|---|
| Funders: | UNSPECIFIED |
| Uncontrolled Keywords: | Global entrainment, biped robot, PD controller, central pattern generator, response surface methodology, van der pol oscillators, rhythmic movements |
| Subjects: | T Technology > T Technology (General) |
| Divisions: | Faculty of Computer Science & Information Technology > Department of Artificial Intelligence |
| Depositing User: | Miss Nur Jannatul Adnin Ahmad Shafawi |
| Date Deposited: | 21 Mar 2013 02:55 |
| Last Modified: | 11 Dec 2014 03:22 |
| URI: | http://eprints.um.edu.my/id/eprint/5201 |
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