CPGs with continuous adjustment of phase difference for locomotion control

Xingming Wu, Long Teng, Weihai Chen, Guanjiao Ren, Yan Jin, Hongwei Li

Research output: Contribution to journalArticlepeer-review

11 Citations (Scopus)
358 Downloads (Pure)


The central pattern generator (CPG) has been found to be a real, existing neuron controller for the locomotion control of animals and it has been used on bio-inspired robots widely in recent years. However, research on the adaptability of CPG-based locomotion control methods is still a challenge. In particular, the performance of the CPG method on quadruped robots is not good enough in some situations compared with the traditional force control methods.

In this article, we adopt a CPG method in which phase difference between oscillators can be arbitrarily adjusted, and we try to improve the CPG's applications in quadruped robots in some aspects. One aspect is static walk gait locomotion, in which we try to add a transition state in the CPG network to enhance the static balance of the robot. Another aspect is gait transition. Compared with the traditional abrupt gait transition, we try to realize a continuous gait transition between walk gait and trot gait to decrease the fluctuations of the robot. The improved CPG method is tested on a quadruped model and it shows positive results with regard to the improvement of static walk gait and gait transitions.
Original languageEnglish
Article number269
JournalInternational Journal of Advanced Robotic Systems
Issue number6
Early online date01 Jan 2013
Publication statusPublished - 13 Jun 2013


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