NDLI: Mobile Robot Navigation Control in Moving Obstacle Environment Using Genetic Algorithm, Artificial Neural Networks and A* Algorithm

Content Provider	IEEE Xplore Digital Library
Author	Kala, R. Shukla, A. Tiwari, R. Rungta, S. Janghel, R.R.
Copyright Year	2009
Abstract	The pace of development and automation urge the need of robots controlling much of the work which used to be done mainly by humans. The modern technology has emphasized on the need to move a robot in an environment which is dynamically changing. An example of such an application may be the use of robots in industry to carry tools and other materials from one place to other. Since many robots would be working together, we need to ensure a collision free navigation plan for each of the robots.In this paper we find out the nearly most optimal path of the robot using Genetic, ANN and A* algorithms at each instant of time of robot travel. It may be used by the industry to send robots for surveys, data acquisition, doing specific work etc. The collision free movement of robot in a moving obstacle environment can be used to move robot in a world of robots.Results show that all 3 algorithms are able to move the robot without any collisions.
Starting Page	705
Ending Page	713
File Size	330356
Page Count	9
File Format	PDF
ISBN	9780769535074
DOI	10.1109/CSIE.2009.854
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-03-31
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Robotic simulation Navigation Robot control Data acquisition Humans Artificial neural networks A* algorithm Back propagation Mobile robots Robotics and automation moving obstacle problem Genetic algorithms Service robots Artificial Neural Network Genetic algorithm robotic navigation control Automatic control
Content Type	Text
Resource Type	Article

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