Rajpurohit, Vijay S and Pai, Manohara M.M. (2009) Parallel Object Motion Prediction in a Robotic Navigational Environment. Parallel Computing Technologies , 5698. pp. 435-444.
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Abstract
In a dynamic Robot navigation system , the Robot has to deal with multiple number of moving objects in the environment simultaneously. The control loop of Robot motion planning comprising of sense-plan-act cycle has very short duration . Predicting the next instance position (Short Term Prediction) and the trajectory (Long Term Prediction) of moving objects in a dynamic navigation system is a part of sense-plan-act cycle. With increase in the number of moving objects under observation, the performance of the prediction techniques reduce gradually. To overcome this drawback, in this paper we propose a parallel motion prediction algorithm to keep track of multiple number of moving objects within the Robotic navigational environment. The implementation of parallel algorithm is done on a cluster computing setup. Performance of the algorithm is tested for different test case scenarios with detailed analysis on efficiency and speedup.
Item Type: | Article |
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Additional Information: | Springer-Verlag Berlin Heidelberg 2009 |
Uncontrolled Keywords: | Dynamic motion prediction, Short term prediction, Long Term Motion Prediction, Fuzzy rule base, Cluster Computing, Parallel motion prediction. |
Subjects: | Engineering > MIT Manipal > Computer Science and Engineering Engineering > MIT Manipal > Information and Communication Technology |
Depositing User: | MIT Library |
Date Deposited: | 16 Aug 2012 09:14 |
Last Modified: | 16 Aug 2012 09:14 |
URI: | http://eprints.manipal.edu/id/eprint/77038 |
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