Title :
Motion prediction in a high-speed, dynamic environment
Author :
Sheng, Yu ; Wu, Yonghai
Author_Institution :
Coll. of Comput. Sci. & Technol., Zhejiang Univ., Hangzhou
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;
Conference_Titel :
Tools with Artificial Intelligence, 2005. ICTAI 05. 17th IEEE International Conference on
Conference_Location :
Hong Kong
Print_ISBN :
0-7695-2488-5
DOI :
10.1109/ICTAI.2005.87
