DocumentCode :
2112049
Title :
Study of Robot Soccer Attack Path and Action Based on Recursive Algorithm
Author :
Wang Shuda ; Wang Rui ; Han Xuena
Author_Institution :
Sch. of Comput. & Inf. Eng., Harbin Univ. of Commerce, Harbin, China
fYear :
2009
fDate :
20-22 Sept. 2009
Firstpage :
1
Lastpage :
4
Abstract :
To the question of high degree of real-time at the process of robot soccer competition, dynamic environment of uncertainty, as well as the attack path and the collision position and posture, recursive algorithm had been used to analysis several common situations during the game. Solved the position and posture of the robot soccer rapid adjustment when the ball passed to the stadium boundary; After center of goal line, forecast offensive path and kicking position and posture of attacking robot soccer, allows it quickly move in accordance with the prediction path; according to the relative position of the opposing players and the goalkeeper, attacking robot soccer selects attack path and adjust pose when the penalty kick, at the same time can also make a deceptive movement to deceive the opposing goalkeeper. Finally, large numbers of experiments had been carried out on the simulation platform, and have achieved very good results.
Keywords :
mobile robots; path planning; position control; real-time systems; recursive estimation; attacking posture forecasting; collision position; kicking position forecasting; offensive path forecasting; recursive algorithm; robot soccer attack path; robot soccer posture rapid adjustment; uncertainty dynamic environment; Algorithm design and analysis; Fuzzy logic; Information analysis; Intelligent robots; Iterative algorithms; Network topology; Orbital robotics; Path planning; Robot kinematics; Uncertainty;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Management and Service Science, 2009. MASS '09. International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-4638-4
Electronic_ISBN :
978-1-4244-4639-1
Type :
conf
DOI :
10.1109/ICMSS.2009.5302492
Filename :
5302492
Link To Document :
بازگشت