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Real time movement coordination technique based on flocking behaviour for multiple mobile robots system
| Content Provider | Semantic Scholar |
|---|---|
| Author | Al-Hudhud, Ghada Ayesh, Aladdin |
| Copyright Year | 2008 |
| Abstract | The emergent behaviour of a multiagent system depends on the component agents and how they interact. A critical part of interaction between agents is communication. This paper presents a multi-agent communication model for physical moving agents, robots. The scope of the paper emphasises the interaction relationships between individual components in multi-agents system that results in economical and social emergent behaviour. The proposed theory of communication integrates animal intelligence technique together with a cognitive intelligence one. This results in a local coordination of movements, and global task coordination. Accordingly, agents are designed to locally communicate with other agents in order to coordinate their movements via a set of flocking rules. A flocking algorithm is used because it satisfies a major objective, i.e. it has a real time response to local environmental changes and minimises the cost of path planning. A higher level communication mechanism is implemented for task distribution that is carried out via a blackboardlike conversation with a ground based controller. |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | http://www.aisb.org.uk/convention/aisb08/proc/proceedings/11%20Swarm%20Intelligence/06.pdf |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
