DocumentCode
2832880
Title
Motion prediction in a high-speed, dynamic environment
Author
Sheng, Yu ; Wu, Yonghai
Author_Institution
Coll. of Comput. Sci. & Technol., Zhejiang Univ., Hangzhou
fYear
2005
fDate
16-16 Nov. 2005
Lastpage
705
Abstract
The immanent existence of system latency greatly affects the control behavior of a closed-loop system. In order to reduce the influence induced by latency, this paper proposes a systematic method based on neural network to predict the motion of objects in a high-speed, dynamic, and competitive environment. We apply this method to the competition of RoboCup Small Size League, which greatly improves the performance of our control system
Keywords
closed loop systems; mobile robots; motion estimation; multi-robot systems; neural nets; path planning; RoboCup Small Size League; closed-loop system; motion prediction; neural network; system latency; Artificial neural networks; Computer science; Control systems; Delay; Educational institutions; Filters; Motion measurement; Neural networks; Robots; Size control;
fLanguage
English
Publisher
ieee
Conference_Titel
Tools with Artificial Intelligence, 2005. ICTAI 05. 17th IEEE International Conference on
Conference_Location
Hong Kong
ISSN
1082-3409
Print_ISBN
0-7695-2488-5
Type
conf
DOI
10.1109/ICTAI.2005.87
Filename
1563024
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