Distributed Anonymous Mobile Robots: Formation of Geometric Patterns
SIAM Journal on Computing
Gathering of Asynchronous Oblivious Robots with Limited Visibility
STACS '01 Proceedings of the 18th Annual Symposium on Theoretical Aspects of Computer Science
Discrete Bee Dance Algorithms for Pattern Formation on a Grid
IAT '03 Proceedings of the IEEE/WIC International Conference on Intelligent Agent Technology
Distributed Models and Algorithms for Mobile Robot Systems
SOFSEM '07 Proceedings of the 33rd conference on Current Trends in Theory and Practice of Computer Science
Solving the robots gathering problem
ICALP'03 Proceedings of the 30th international conference on Automata, languages and programming
Gathering asynchronous mobile robots with inaccurate compasses
OPODIS'06 Proceedings of the 10th international conference on Principles of Distributed Systems
On the feasibility of gathering by autonomous mobile robots
SIROCCO'05 Proceedings of the 12th international conference on Structural Information and Communication Complexity
Multi-agent deployment on a ring graph
ANTS'10 Proceedings of the 7th international conference on Swarm intelligence
Uniform multi-agent deployment on a ring
Theoretical Computer Science
SAB'06 Proceedings of the 9th international conference on From Animals to Animats: simulation of Adaptive Behavior
Optimal and competitive runtime bounds for continuous, local gathering of mobile robots
Proceedings of the twenty-fourth annual ACM symposium on Parallelism in algorithms and architectures
Hi-index | 0.00 |
In this follow-up to an ANTS 2004 paper we continue to investigate the problem of gathering a swarm of multiple robotic agents on the plane using very limited local sensing capabilities. In our previous work, we assumed that the agents cannot measure their distance to neighboring agents at all. In this paper, we consider a crude range-limited sensing capability that can only tell if neighboring agents are either nearor far. We introduce two new variants of our previously proposed algorithm that utilize this capability. We prove the correctness of our algorithms, and show that the newly added capability can improve the performance of the algorithm significantly.