Real-time obstacle avoidance for manipulators and mobile robots
International Journal of Robotics Research
The power of a pebble: exploring and mapping directed graphs
STOC '98 Proceedings of the thirtieth annual ACM symposium on Theory of computing
Ant algorithms for discrete optimization
Artificial Life
Terrain coverage with ant robots: a simulation study
Proceedings of the fifth international conference on Autonomous agents
Efficiently searching a graph by a smell-oriented vertex process
Annals of Mathematics and Artificial Intelligence
From Ants to A(ge)nts: A Special Issue on Ant-Robotics
Annals of Mathematics and Artificial Intelligence
Vertex-Ant-Walk – A robust method for efficient exploration of faulty graphs
Annals of Mathematics and Artificial Intelligence
Distributed coverage of rectilinear environments
Distributed coverage of rectilinear environments
On the capability of finite automata in 2 and 3 dimensional space
SFCS '77 Proceedings of the 18th Annual Symposium on Foundations of Computer Science
On the power of the compass (or, why mazes are easier to search than graphs)
SFCS '78 Proceedings of the 19th Annual Symposium on Foundations of Computer Science
Ant system: optimization by a colony of cooperating agents
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Proceedings of The 8th International Conference on Autonomous Agents and Multiagent Systems - Volume 1
Proceedings of the 9th International Conference on Autonomous Agents and Multiagent Systems: volume 2 - Volume 2
Review: Of robot ants and elephants: A computational comparison
Theoretical Computer Science
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We present an algorithm for covering continuous domains by primitive robots whose only ability is to mark visited places with pheromone and to sense the level of the pheromone in their neighborhood. These pheromone marks can be sensed by all robots and thus provide a way for indirect communication between the robots. Apart from this, the robots have no means to communicate. Additionally they are memoryless, have no global information such as the domain map, own position, coverage percentage, etc. Despite the robots’ simplicity, we show that they are able to cover efficiently any connected domains, including non-planar ones.