DocumentCode :
3550061
Title :
Obstacle-navigation control for a mobile robot suspended on overhead ground wires
Author :
Li, Tang ; Lijin, Fang ; Hongguang, Wang
Author_Institution :
Robotics Lab., Chinese Acad. of Sci., Shenyang, China
Volume :
3
fYear :
2004
fDate :
6-9 Dec. 2004
Firstpage :
2082
Abstract :
This paper presents an obstacle-navigation control strategy for a mobile robot suspended on overhead ground wires of power transmission lines based on a novel movement mechanism. The kinematics of the mobile robot and the process of obstacle-navigation control are analyzed in detail. This paper presents to develop robot expert system using hybrid programming of C language integrated production system (CLIPS) and C language, and the robot expert system has powerful logical reasoning ability and data processing ability. The robot control modes have layered planning and direct control. This paper describes the robot expert system with hybrid architecture and analyzed decision-making of obstacle-navigation in layered planning mode in detail. The robot can learn online or offline, and when it encounter the same obstacles, it can navigate them quickly. Obstacle-navigation control is the difficult point of the type of wire-suspended robot and the expert system can instruct the mobile robot to navigate obstacles autonomously on overhead ground wires.
Keywords :
collision avoidance; expert systems; inference mechanisms; learning (artificial intelligence); mobile robots; motion control; robot kinematics; C language integrated production system; CLIPS; decision making; logic reasoning; mobile robot; obstacle-navigation control; offline learning; online learning; overhead ground wires; power transmission lines; robot expert system; robot kinematics; robot movement mechanism; Expert systems; Kinematics; Logic programming; Mobile robots; Navigation; Power system planning; Power transmission lines; Process control; Robot programming; Wires;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control, Automation, Robotics and Vision Conference, 2004. ICARCV 2004 8th
Print_ISBN :
0-7803-8653-1
Type :
conf
DOI :
10.1109/ICARCV.2004.1469485
Filename :
1469485
Link To Document :
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