Probability, random processes, and estimation theory for engineers
Probability, random processes, and estimation theory for engineers
Terrain coverage with ant robots: a simulation study
Proceedings of the fifth international conference on Autonomous agents
Numerical Methods for Physics (2nd Edition)
Numerical Methods for Physics (2nd Edition)
A Reactive Robot Navigation System Based on a Fluid Dynamics Metaphor
PPSN I Proceedings of the 1st Workshop on Parallel Problem Solving from Nature
Using Artificial Physics to Control Agents
ICIIS '99 Proceedings of the 1999 International Conference on Information Intelligence and Systems
Distributed, Physics-Based Control of Swarms of Vehicles
Autonomous Robots
A formal analysis of potential energy in a multi-agent system
FAABS'04 Proceedings of the Third international conference on Formal Approaches to Agent-Based Systems
A global optimization based on physicomimetics framework
Proceedings of the first ACM/SIGEVO Summit on Genetic and Evolutionary Computation
On mass effects to artificial physics optimisation algorithm for global optimisation problems
International Journal of Innovative Computing and Applications
The vector model of artificial physics optimization algorithm for global optimization problems
IDEAL'09 Proceedings of the 10th international conference on Intelligent data engineering and automated learning
Artificial physics optimisation: a brief survey
International Journal of Bio-Inspired Computation
The convergence analysis of artificial physics optimisation algorithm
International Journal of Intelligent Information and Database Systems
An overview of physicomimetics
SAB'04 Proceedings of the 2004 international conference on Swarm Robotics
Self organization for area coverage maximization and energy conservation in mobile ad hoc networks
Transactions on Computational Science XV
International Journal of Bio-Inspired Computation
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The task addressed here is a dynamic search through a bound-ed region, while avoiding multiple large obstacles, such as buildings. In the case of limited sensors and communication, maintaining spatial coverage – especially after passing the obstacles – is a challenging problem. Here, we investigate two physics-based approaches to solving this task with multiple simulated mobile robots, one based on artificial forces and the other based on the kinetic theory of gases. The desired behavior is achieved with both methods, and a comparison is made between them. Because both approaches are physics-based, formal assurances about the multi-robot behavior are straightforward, and are included in the paper.