DocumentCode :
1743817
Title :
Control and random searching with multiple robots
Author :
Healey, A.J. ; Kim, J.
Author_Institution :
Center for Autonomous Underwater Vehicle Res., Naval Postgraduate Sch., Monterey, CA, USA
Volume :
1
fYear :
2000
fDate :
2000
Firstpage :
340
Abstract :
This paper discusses the elements of modeling and simulation methodology for the study of system performance analysis in minefield reconnaissance and object mapping in very shallow water environments. Crawling and swimming vehicles are considered, although the focus is on the first. Vehicle locomotion models are proposed. Wave and current models are discussed by reference to other ongoing research. The modeling of object detection sensors, and vehicle navigation sensors are also given. Using these principles given above, reference is made to the importance of two types of simulator graphics based visualization simulator that views the interactive behavior of robots and environment objects, and a Monte Carlo low resolution simulator that allows the study of system effectiveness. Also, other control parameters are studied including the effect of changes in the detection range of the primary sensor
Keywords :
Monte Carlo methods; collision avoidance; mobile robots; multi-robot systems; navigation; probability; simulation; underwater vehicles; Monte Carlo method; crawling vehicles; minefield reconnaissance; multiple robots; navigation; object mapping; probability; random searching; simulator graphics; very shallow water environments; Analytical models; Graphics; Navigation; Object detection; Performance analysis; Reconnaissance; Robots; System performance; Vehicle detection; Visualization;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Decision and Control, 2000. Proceedings of the 39th IEEE Conference on
Conference_Location :
Sydney, NSW
ISSN :
0191-2216
Print_ISBN :
0-7803-6638-7
Type :
conf
DOI :
10.1109/CDC.2000.912783
Filename :
912783
Link To Document :
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