Review: CPG as a controller for biomimetic floating robots
A. I. Zharinov, Y. A. Tsybina, S. Y. Gordleeva

TL;DR
This review discusses the use of Central Pattern Generators (CPGs), inspired by biological neural networks, as controllers for biomimetic floating robots, highlighting recent developments in undulating and amphibian locomotion modeling.
Contribution
It provides a comprehensive overview of recent research on implementing CPG-based control systems in robotic animals, emphasizing biological plausibility and adaptive capabilities.
Findings
CPG-based controllers enable smooth locomotion transitions
Recent studies focus on undulating and amphibian robots
Biologically inspired control improves adaptability in robots
Abstract
All vertebrates are capable of performing various types of physical activity. Locomotor patterns are created by the cyclical coordinated work of the skeletal muscles. The organization of such a system in living organisms is responsible for networks of interconnected populations of neurons capable of forming rhythmic activity - CPG. As biologists have established, CPG is a key mechanism causing adaptive and versatile locomotion in animals. Using a system based on biological principles as a controller for robotic devices will avoid many of the problems that are present in standard control loops. In particular, it becomes possible not only plausible modeling and study of the peculiarities of animal locomotion (in simple cases), but also smooth switching between different types of activity depending on environmental conditions, i.e. creation of autonomous adaptive systems. In this review, a…
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Taxonomy
TopicsRobotic Locomotion and Control · Water Quality Monitoring Technologies · Modular Robots and Swarm Intelligence
