Title: Knowledge-based approach to optimal path generation for an internet-enabled robot

Authors: Chengwei Dai; Shuang-Hua Yang

Addresses: Department of Computer Science, Loughborough University, Epinal Way, Loughborough, Leicestershire, LE11 5YS, UK ' Department of Computer Science, Loughborough University, Epinal Way, Loughborough, Leicestershire, LE11 5YS, UK

Abstract: In this paper, a knowledge-based control system for generating an optimal path with obstacle avoidance for an internet-enabled robot is proposed. The novel knowledge-based control system is used for guiding a robot to move from an initial location to a final destination with free collision based on the issued control commands from remote users. In order to address general environment, the obstacles of the robot include static objects and free moving objects. For simplifying the problems, relative distance and velocity have been employed to transform a dynamic object into static one. Simulation results demonstrate effectiveness and feasibility of the proposed knowledge-based control system for the internet-enabled robot.

Keywords: knowledge-based systems; KBS; robot control; robot path control; internet enabled robots; obstacle avoidance; robot navigation; remote control; simulation; intelligent robotics; collision avoidance.

DOI: 10.1504/IJAMECHS.2012.052224

International Journal of Advanced Mechatronic Systems, 2012 Vol.4 No.5/6, pp.287 - 292

Published online: 30 Aug 2014 *

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