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Robotics 2017, 6(2), 7; doi:10.3390/robotics6020007

An Optimal and Energy Efficient Multi-Sensor Collision-Free Path Planning Algorithm for a Mobile Robot in Dynamic Environments

Department of Computer Science, University of Bridgeport, 126 Park Avenue, Bridgeport, CT 06604, USA
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Author to whom correspondence should be addressed.
Academic Editor: Huosheng Hu
Received: 4 December 2016 / Revised: 24 March 2017 / Accepted: 28 March 2017 / Published: 31 March 2017
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Abstract

There has been a remarkable growth in many different real-time systems in the area of autonomous mobile robots. This paper focuses on the collaboration of efficient multi-sensor systems to create new optimal motion planning for mobile robots. A proposed algorithm is used based on a new model to produce the shortest and most energy-efficient path from a given initial point to a goal point. The distance and time traveled, in addition to the consumed energy, have an asymptotic complexity of O(nlogn), where n is the number of obstacles. Real time experiments are performed to demonstrate the accuracy and energy efficiency of the proposed motion planning algorithm. View Full-Text
Keywords: motion planning; collision avoidance; safe navigation; autonomous control; mobile robot motion planning; collision avoidance; safe navigation; autonomous control; mobile robot
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Alajlan, A.; Elleithy, K.; Almasri, M.; Sobh, T. An Optimal and Energy Efficient Multi-Sensor Collision-Free Path Planning Algorithm for a Mobile Robot in Dynamic Environments. Robotics 2017, 6, 7.

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