DocumentCode :
1836582
Title :
Obstacle avoidance research of snake-like robot based on multi-sensor information fusion
Author :
Qianying Wu ; Junyao Gao ; Chengzu Huang ; Zhengyang Zhao ; Cheng Wang ; Xuandong Su ; Huaxin Liu ; Xin Li ; Yi Liu ; Zhe Xu
Author_Institution :
Intell. Robot. Inst., Beijing Inst. of Technol., Beijing, China
fYear :
2012
fDate :
11-14 Dec. 2012
Firstpage :
1040
Lastpage :
1044
Abstract :
The snake-like robot needs to adapt to complex environment, in order to reach the target point safely and collisionless, necessary obstacle avoidance strategy is of vital importance. In this paper, laser radar and ultrasonic sensors are used to detect the surrounding environment, and then information fusion method based on TS fuzzy neural network is adopted to integrate the collected information, which provides the necessary condition for obstacle avoidance research of the snake-like robot. Experiments show that the snake-like robot can successfully avoid obstacles to reach the target point after training of the fuzzy neural network.
Keywords :
collision avoidance; fuzzy control; fuzzy neural nets; mobile robots; neurocontrollers; optical radar; sensor fusion; TS fuzzy neural network; laser radar; multisensor information fusion; obstacle avoidance research; snake-like robot; target point; ultrasonic sensors;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Robotics and Biomimetics (ROBIO), 2012 IEEE International Conference on
Conference_Location :
Guangzhou
Print_ISBN :
978-1-4673-2125-9
Type :
conf
DOI :
10.1109/ROBIO.2012.6491106
Filename :
6491106
Link To Document :
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