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What is Evolutionary Robotics

Handbook of Research on Design, Control, and Modeling of Swarm Robotics
Uses evolutionary computational approaches to develop controllers for autonomous robots.
Published in Chapter:
Adaptive Self-Organizing Organisms Using A Bio-Inspired Gene Regulatory Network Controller: For the Aggregation of Evolutionary Robots under a Changing Environment
Yao Yao (Ghent University, Belgium), Kathleen Marchal (Ghent University, Belgium), and Yves Van de Peer (Ghent University, Belgium)
DOI: 10.4018/978-1-4666-9572-6.ch003
Abstract
This work has explored the adaptive potential of simulated swarm robots that contain a genomic encoding of a bio-inspired gene regulatory network (GRN). An artificial genome is combined with a flexible agent-based system, representing the activated part of the regulatory network that transduces environmental cues into phenotypic behavior. Using an Alife simulation framework that mimics a changing environment, we have shown that separating the static from the conditionally active part of the network contributes to a better adaptive behavior. This chapter describes the biologically inspired concept of GRNs to develop a distributed robot self-organizing approach. In particular, it shows that by using this approach, multiple swarm robots can aggregate to form a robotic organism that can adapt its configuration as a response to a dynamically changing environment. In addition, through the comparison of several different simulation experiments, the results illustrate the impact of evolutionary operators such as mutations and duplications on improving the adaptability of organisms.
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More Results
Evolutionary Multi-Objective Optimization of Autonomous Mobile Robots in Neural-Based Cognition for Behavioural Robustness
is a method that utilizes evolutionary computation to automatically synthesize controllers for autonomous robots. In other words, it refers to the application of artificial evolution to generate autonomous robots and/or their controllers with minimal or no direct input from humans.
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Evolutionary Robotics
The field of Autonomous Robotics, usually also considered as a field of Behaviour Based Robotics, that obtains the controllers using some kind of evolutionary algorithm
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Modularity in Artificial Neural Networks
A technique for the creation of neural controllers for autonomous robots, based on genetic algorithms
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