Parallel Object Motion Prediction in a Robotic Navigational Environment

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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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
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

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