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All Journal IAES International Journal of Robotics and Automation (IJRA)
Mahsa Kharazi
Sahand University of Technology
Automotive Engineering Electrical & Electronics Engineering

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“Nearest Zero-point” Algorithm for Cooperative Robotic Search Missions Vahid Aryai; Mahsa Kharazi; Farid Ariai
IAES International Journal of Robotics and Automation (IJRA) Vol 6, No 1: March 2017
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (656.426 KB) | DOI: 10.11591/ijra.v6i1.pp49-58

Abstract

Four path planning and data exchange algorithms for cooperative search and coverage robotic missions are proposed and modified. The introduced methods are simulated using C++ programming environment and the results are discussed in detail for environments with static obstacles. It has been shown that using the “nearest zero-point” algorithm can greatly optimize the mission duration and also overlapping of the search trajectories. Finally, the results are compared with several existing algorithms.
Co-Authors Farid Ariai Vahid Aryai