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A behaviour-based hierarchical commu...

Wan, Zhengzheng.

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A behaviour-based hierarchical communication strategy for multi-robot systems.

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	A behaviour-based hierarchical communication strategy for multi-robot systems./
作者:	Wan, Zhengzheng.
面頁冊數:	142 p.
附註:	Source: Masters Abstracts International, Volume: 46-05, page: .
Contained By:	Masters Abstracts International46-05.
標題:	Artificial Intelligence. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=MR36842
ISBN:	9780494368428

A behaviour-based hierarchical communication strategy for multi-robot systems.
Wan, Zhengzheng.

A behaviour-based hierarchical communication strategy for multi-robot systems. - 142 p.

Source: Masters Abstracts International, Volume: 46-05, page: .

Thesis (M.C.S.)--Carleton University (Canada), 2008.

Recent work in the design and implementation of multi-robot systems has focused on hierarchical arrangements and communication strategies for such systems. We present here a new hierarchical communication strategy for multi-robot systems that uses a bottom-up approach. The system uses neuron networks to maintain robot communication, to assign to robots implicit work zones, to navigate towards various static/dynamic goal locations and to perform any necessary task-related behaviors. This approach results in a faster and more reactive system than more traditional approaches and also reduces the computational power requirements. Our strategy ensures that each robot remains within communication range of its group leader at all times and can also be generalized to multi-level hierarchies. We simulated the system and then performed experiments that show how a single-level hierarchical system outperforms its non-communication counterpart in terms of concentrated area coverage when performing path-directed tasks and when focusing on centralized search patterns.

ISBN: 9780494368428Subjects--Topical Terms:

769149
Artificial Intelligence.

A behaviour-based hierarchical communication strategy for multi-robot systems.
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