Name
Abstract | ||
|---|---|---|
As a distributed system, swarm robotics is well suited for multiple targets search tasks. In this paper, a new approach based on triangle formation and random search is proposed for high efficiency, demonstrating excellent abilities of exploration and exploitation in experiments. In addition, a new random walk strategy of linear ballistic motion, integrated with triangle estimation, is put forward as a comparison algorithm, the performance of which can serve as a benchmark. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1007/978-3-319-41009-8_59 | ADVANCES IN SWARM INTELLIGENCE, ICSI 2016, PT II |
Keywords | Field | DocType |
Swarm robotics,Multiple targets search,Triangle formation,Random search,Exploration and exploitation | Random search,Mathematical optimization,Swarm behaviour,Random walk,Computer science,Artificial intelligence,Robot,Swarm robotics | Conference |
Volume | ISSN | Citations |
9713 | 0302-9743 | 0 |
PageRank | References | Authors |
0.34 | 0 | 2 |