Analysis of Computational Intelligence Techniques for Path Planning

Monica Sood (), Sahil Verma (), Vinod Kumar Panchal and Kavita
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Monica Sood: Lovely Professional University, Department of Computer Science and Engineering
Sahil Verma: Lovely Professional University, Department of Computer Science and Engineering
Vinod Kumar Panchal: Computational Intelligence Research Group (CiRG)
Kavita: Lovely Professional University, Department of Computer Science and Engineering

A chapter in New Trends in Computational Vision and Bio-inspired Computing, 2020, pp 537-546 from Springer

Abstract: Abstract In this growing technological era, path planning has become extensively useful application in the fields of robotics, surveillance and planning, gaming, animation, and bio-informatics. The act of path planning is the way to identify a collision free path from defined source to destination. In this paper, an analysis on the existing path planning concepts based on computational intelligence techniques is presented. Computational intelligence techniques have the capability to deal with uncertainty and approximation that makes these techniques more efficient to work on path planning. In this paper, the selected latest quality contributions of researchers are discussed along with their obstacles handing information, system type, and workspace environment. Moreover, some research questions also proposed and answered for the considered research contributions.

Keywords: Computational intelligence; Path planning; Optimal path; Swarm intelligence; Machine learning (search for similar items in EconPapers)
Date: 2020
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-030-41862-5_52

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DOI: 10.1007/978-3-030-41862-5_52

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