Abstract
This paper proposes the idea that Hindmarsh-Rose (HR) neuronal model can be used to develop a new type of central pattern generator (CPG). Some key properties of HR model are studied and proved to meet the requirements of CPG. Pros and cons of HR model are provided. A CPG network based on HR model is developed and the related properties are investigated. We explore the bipedal primary gaits generated by the CPG network. The preliminary applications of HR model are tested on humanoid locomotion model and functional electrical stimulation (FES) walking system. The positive results of stimulation and experiment show the feasibility of HR model as a valid CPG.
| Original language | English |
|---|---|
| Article number | 1450028 |
| Journal | International Journal of Neural Systems |
| Volume | 25 |
| Issue number | 1 |
| DOIs | |
| Publication status | Published - 1 Feb 2015 |
Funding
This work is supported by the National Basic Research Program (973 Program) of China (Grant No. 2011CB013305), the National Natural Science Foundation of China (Grant No. 51075265), and the State Key Laboratory of Robotics and System (SKLRS-2012-ZD-04). We would like to thank Yong Ren and Dr. Kexing Sun for the helpful assistance during experiment.
Keywords
- bipedal locomotion
- central pattern generator
- Hindmarsh-Rose model
- neuronal network
- walking control
ASJC Scopus subject areas
- Computer Networks and Communications
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Dingguo Zhang
- Department of Electronic & Electrical Engineering - Reader in Robotics Engineering
- UKRI CDT in Accountable, Responsible and Transparent AI
- Centre for Bioengineering & Biomedical Technologies (CBio)
- Bath Institute for the Augmented Human
- IAAPS
Person: Research & Teaching, Core staff, Affiliate staff
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