Name
Abstract | ||
|---|---|---|
The objective of this work is to develop a framework that can deploy and provide coordination between multiple heterogeneous agents when a swarm robotic system adopts a decentralized approach; each robot evaluates its relative rank among the other robots in terms of travel distance and cost to the goal. Accordingly, robots are allocated to the sub-tasks for which they have the highest rank (utility). This paper provides an analysis of existing swarm control environments and proposes a software environment that facilitates a rapid deployment of multiple robotic agents. The framework (UBSwarm) exploits our utility-based task allocation algorithm. UBSwarm configures these robots and assigns the group of robots a particular task from a set of available tasks. Two major tasks have been introduced that show the performance of a robotic group. This robotic group is composed of heterogeneous agents. In the results, a premature example that has prior knowledge about the experiment shows whether or not the robots are able to accomplish the task. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.3390/robotics5040022 | ROBOTICS |
Keywords | Field | DocType |
heterogeneous swarm agents,reconfigurable robotic agents,dynamic robotic coordination,robotics interactive software,robots deployment environment | Robot control,Software deployment,Swarm behaviour,Ant robotics,Software,Artificial intelligence,Engineering,Robot,Deployment environment,Swarm robotics | Journal |
Volume | Issue | Citations |
5 | 4.0 | 0 |
PageRank | References | Authors |
0.34 | 0 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Tamer Abukhalil | 1 | 0 | 0.68 |
| Madhav Patil | 2 | 0 | 0.68 |
| Sarosh H. Patel | 3 | 9 | 2.94 |
| Tarek M. Sobh | 4 | 435 | 55.11 |