Applications of Biological Cell Models in Robotics
Michele Braccini

TL;DR
This paper surveys biological cell models, especially gene regulatory networks, and explores their applications and influence in robotics, highlighting how biological concepts inspire robotic systems.
Contribution
It provides a comprehensive overview of gene regulatory network models and their integration into robotics, emphasizing the interdisciplinary connections.
Findings
Gene regulatory networks inform robotic control systems.
Biological models enhance adaptability in robots.
Survey highlights key models and applications in robotics.
Abstract
In this paper I present some of the most representative biological models applied to robotics. In particular, this work represents a survey of some models inspired, or making use of concepts, by gene regulatory networks (GRNs): these networks describe the complex interactions that affect gene expression and, consequently, cell behaviour.
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Taxonomy
TopicsGene Regulatory Network Analysis · Evolutionary Algorithms and Applications · Advanced Control Systems Optimization
