Designing emergent behaviors: from local interactions to collective intelligence
Proceedings of the second international conference on From animals to animats 2 : simulation of adaptive behavior: simulation of adaptive behavior
Terrain coverage with ant robots: a simulation study
Proceedings of the fifth international conference on Autonomous agents
From Ants to A(ge)nts: A Special Issue on Ant-Robotics
Annals of Mathematics and Artificial Intelligence
Multiagent Mission Specification and Execution
Autonomous Robots
Evolving Beharioral Strategies in Predators and Prey
IJCAI '95 Proceedings of the Workshop on Adaption and Learning in Multi-Agent Systems
Interaction and intelligent behavior
Interaction and intelligent behavior
Discrete Bee Dance Algorithms for Pattern Formation on a Grid
IAT '03 Proceedings of the IEEE/WIC International Conference on Intelligent Agent Technology
A framework and analysis for cooperative search using UAV swarms
Proceedings of the 2004 ACM symposium on Applied computing
Building Terrain-Covering Ant Robots: A Feasibility Study
Autonomous Robots
Continuous Swarm Surveillance via Distributed Priority Maps
ACAL '09 Proceedings of the 4th Australian Conference on Artificial Life: Borrowing from Biology
Autonomous Agents and Multi-Agent Systems
Bounds for cops and robber pursuit
Computational Geometry: Theory and Applications
The complexity of grid coverage by swarm robotics
ANTS'10 Proceedings of the 7th international conference on Swarm intelligence
Static and expanding grid coverage with ant robots: Complexity results
Theoretical Computer Science
Multi-agent Cooperative Cleaning of Expanding Domains
International Journal of Robotics Research
Agent-based simulation of cooperative hunting with UAVs
Proceedings of the Agent-Directed Simulation Symposium
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This work examines the Cooperative Hunters problem, where a swarm of unmanned air vehicles (UAVs) is used for searching one or more “evading targets,” which are moving in a predefined area while trying to avoid a detection by the swarm. By arranging themselves into efficient geometric flight configurations, the UAVs optimize their integrated sensing capabilities, enabling the search of a maximal territory.