Collective robotics: from social insects to robots
Adaptive Behavior
Communication in reactive multiagent robotic systems
Autonomous Robots
Swarm intelligence: from natural to artificial systems
Swarm intelligence: from natural to artificial systems
Computational principles of mobile robotics
Computational principles of mobile robotics
Situated Cognition: On Human Knowledge and Computer Representations
Situated Cognition: On Human Knowledge and Computer Representations
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
Evolutionary Robotics: The Biology,Intelligence,and Technology
Evolutionary Robotics: The Biology,Intelligence,and Technology
Cooperative Mobile Robotics: Antecedents and Directions
Autonomous Robots
Using Situated Communication in Distributed Autonomous Mobile Robotics
SCAI '01 Proceedings of the Seventh Scandinavian Conference on Artificial Intelligence
Evolving mobile robots able to display collective behaviors
Artificial Life
Autonomous Robots
Swarm-Bot: A New Distributed Robotic Concept
Autonomous Robots
Self-organisation and communication in groups of simulated and physical robots
Biological Cybernetics
Evolution of Signaling in a Multi-Robot System: Categorization and Communication
Adaptive Behavior - Animals, Animats, Software Agents, Robots, Adaptive Systems
Proceedings of the 2nd international conference on Swarm robotics
SAB'06 Proceedings of the 2nd international conference on Swarm robotics
Active categorical perception in an evolved anthropomorphic robotic arm
CEC'09 Proceedings of the Eleventh conference on Congress on Evolutionary Computation
Task allocation for robots using inspiration from hormones
Adaptive Behavior - Animals, Animats, Software Agents, Robots, Adaptive Systems
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This article describes a simulation model in which artificial evolution is used to design homogeneous control structures and adaptive communication protocols for a group of three autonomous simulated robots. The agents are required to cooperate in order to approach a light source while avoiding collisions. The robots are morphologically different: Two of them are equipped with infrared sensors, one with light sensors. Thus, the two morphologically identical robots should take care of obstacle avoidance; the other one should take care of phototaxis. Since all of the agents can emit and perceive sound, the group's coordination of actions is based on acoustic communication. The results of this study are a proof of concept: They show that dynamic artificial neural networks can be successfully synthesized by artificial evolution to design the neural mechanisms required to underpin the behavioral strategies and adaptive communication capabilities demanded by this task. Postevaluation analyses unveil operational aspects of the best evolved behavior. Our results suggest that the building blocks and the evolutionary machinery detailed in the article should be considered in future research work dealing with the design of homogeneous controllers for groups of heterogeneous cooperating and communicating robots.