Adaptive Behavior - Special issue on environment structure and behavior
Swarm intelligence: from natural to artificial systems
Swarm intelligence: from natural to artificial systems
Stigmergy, self-organization, and sorting in collective robotics
Artificial Life
Reinforcement Learning
Reinforcement Learning in the Multi-Robot Domain
Autonomous Robots
Multiagent Systems: A Survey from a Machine Learning Perspective
Autonomous Robots
Ibots Learn Genuine Team Solutions
ECML '97 Proceedings of the 9th European Conference on Machine Learning
Mobile Robot Miniaturisation: A Tool for Investigation in Control Algorithms
The 3rd International Symposium on Experimental Robotics III
Global Stochastic Optimization with Low-Dispersion Point Sets
Operations Research
Behavioral diversity in learning robot teams
Behavioral diversity in learning robot teams
Evolution of homing navigation in a real mobile robot
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Learning and Measuring Specialization in Collaborative Swarm Systems
Adaptive Behavior - Animals, Animats, Software Agents, Robots, Adaptive Systems
Multi-robot learning with particle swarm optimization
AAMAS '06 Proceedings of the fifth international joint conference on Autonomous agents and multiagent systems
Guiding robots' behaviors using pheromone communication
Autonomous Robots
Robot Odor Localization: A Taxonomy and Survey
International Journal of Robotics Research
Distributed Adaptation in Multi-robot Search Using Particle Swarm Optimization
SAB '08 Proceedings of the 10th international conference on Simulation of Adaptive Behavior: From Animals to Animats
Robotics and Autonomous Systems
Theoretical analysis of three bio-inspired plume tracking algorithms
ICRA'09 Proceedings of the 2009 IEEE international conference on Robotics and Automation
An estimation-based plume tracing method in time-variant airflow-field via mobile robot
ROBIO'09 Proceedings of the 2009 international conference on Robotics and biomimetics
Robots implementation for odor source localization using PSO algorithm
WSEAS Transactions on Circuits and Systems
A learning particle swarm optimization algorithm for odor source localization
International Journal of Automation and Computing
A PSO-based algorithm designed for a swarm of mobile robots
Structural and Multidisciplinary Optimization
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This paper presents an investigation of odor localization by groups of autonomous mobile robots using principles of Swarm Intelligence. First, we describe a distributed algorithm by which groups of agents can solve the full odor localization task more efficiently than a single agent. Next, we demonstrate that a group of real robots under fully distributed control can successfully traverse a real odor plume, and that an embodied simulator can faithfully reproduce these real robots experiments. Finally, we use the embodied simulator combined with a reinforcement learning algorithm to optimize performance across group size, showing that it can be useful not only for improving real world odor localization, but also for quantitatively characterizing the influence of group size on task performance.