Design and path planning for a remote-brained service robot


Autoria(s): Cui SG (cui Shigang); Lian ZG (lian Zhengguang); Zhao L (zhao Li); Bing ZG (Bing Zhigang); Chen HD (chen Hongda)
Data(s)

2007

Resumo

This paper presents a novel robot named "TUT03-A" with expert systems, speech interaction, vision systems etc. based on remote-brained approach. The robot is designed to have the brain and body separated. There is a cerebellum in the body. The brain with the expert systems is in charge of decision and the cerebellum control motion of the body. The brain-body. interface has many kinds of structure. It enables a brain to control one or more cerebellums. The brain controls all modules in the system and coordinates their work. The framework of the robot allows us to carry out different kinds of robotics research in an environment that can be shared and inherited over generations. Then we discuss the path planning method for the robot based on ant colony algorithm. The mathematical model is established and the algorithm is achieved with the Starlogo simulating environment. The simulation result shows that it has strong robustness and eligible pathfinding efficiency.

This paper presents a novel robot named "TUT03-A" with expert systems, speech interaction, vision systems etc. based on remote-brained approach. The robot is designed to have the brain and body separated. There is a cerebellum in the body. The brain with the expert systems is in charge of decision and the cerebellum control motion of the body. The brain-body. interface has many kinds of structure. It enables a brain to control one or more cerebellums. The brain controls all modules in the system and coordinates their work. The framework of the robot allows us to carry out different kinds of robotics research in an environment that can be shared and inherited over generations. Then we discuss the path planning method for the robot based on ant colony algorithm. The mathematical model is established and the algorithm is achieved with the Starlogo simulating environment. The simulation result shows that it has strong robustness and eligible pathfinding efficiency.

zhangdi于2010-03-29批量导入

zhangdi于2010-03-29批量导入

Chinese Acad Sci, Inst Semicond, Beijing 100864, Peoples R China

Identificador

http://ir.semi.ac.cn/handle/172111/9838

http://www.irgrid.ac.cn/handle/1471x/65920

Idioma(s)

英语

Publicador

IEEE COMPUTER SOC

10662 LOS VAQUEROS CIRCLE, PO BOX 3014, LOS ALAMITOS, CA 90720-1264 USA

Fonte

Cui, SG (cui, Shigang); Lian, ZG (lian, Zhengguang); Zhao, L (zhao, Li); Bing, ZG (bing, Zhigang); Chen, HD (chen, Hongda) .Design and path planning for a remote-brained service robot .见:IEEE COMPUTER SOC .ICNC 2007 THIRD INTERNATIONAL CONFERENCE ON NATURAL COMPUTATION,10662 LOS VAQUEROS CIRCLE, PO BOX 3014, LOS ALAMITOS, CA 90720-1264 USA ,2007,VOL 4 PROCEEDINGS: 782-786

Palavras-Chave #光电子学 #SELF-LOCALIZATION
Tipo

会议论文