2014 IEEE International Conference on Information and Automation (ICIA) 2014
DOI: 10.1109/icinfa.2014.6932677
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Design of neural circuit for sidewinding of snake-like robots

Abstract: This paper presents a kind of biomimetic neural circuit for simulating and implementing sidewinding of a snakelike robot. Biologically inspired by the neural circuit diagram in the spinal cord of lampreys, we propose a neural oscillator model and a chained inhibitory neural circuit. A set of leaky integrator type and sigmoid type interneurons is incorporated into the design of the neural diagram for rhythmic signal generation. The model provides explicit parameters for output modulation, including the modulati… Show more

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Cited by 4 publications
(2 citation statements)
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“…To replicate the behavior onto the snake-like robot, the control sequence of these modules needs to be considered. Inspired by the central pattern generators (CPG) that is responsible for coordinated pattern of rhythmic activity generation, many CPG-based methods have been proposed and applied on bio-inspired robots for gait generation [18]- [20]. Here, we follow the work [21] and use two groups of sine generators for gait implementation:…”
Section: Methodsmentioning
confidence: 99%
“…To replicate the behavior onto the snake-like robot, the control sequence of these modules needs to be considered. Inspired by the central pattern generators (CPG) that is responsible for coordinated pattern of rhythmic activity generation, many CPG-based methods have been proposed and applied on bio-inspired robots for gait generation [18]- [20]. Here, we follow the work [21] and use two groups of sine generators for gait implementation:…”
Section: Methodsmentioning
confidence: 99%
“…There have been a number of control methods developed for locomotion generation of snake-like robots, such as the gait table method, 27 the analytical method, 8 and the bioinspired method. 28 Among these methods, the sinusoidal generator, characterized by its simplicity and capability of 3-D gait generation, is considered one of the most efficient approaches for gait generation. Followed the work by Gonzalez-Gomez et al, 29 we implement the control model using two groups of sinusoidal generators where q p and q y are the reference angles for the pitch modules and the yaw modules, respectively, A p and A y denote the desired amplitude for the two groups of modules, T is the module rotating period, F p and F y represent the phase differences of the sinusoidal generators from the pitch group and the yaw group, respectively, F py is the phase difference between the pitch group and the yaw group, and O p and O y are the offsets of these sinusoidal generators.…”
Section: Gait Generationmentioning
confidence: 99%