Motion Planning in the Area of Robotics and Automation

Authors

  • Maya Mehta  Parul Institute of Engineering and Technology, Faculty of IT and Computer Science, Parul University, Gujarat, India
  • Priya Swaminarayan  Parul Institute of Engineering and Technology, Faculty of IT and Computer Science, Parul University, Gujarat, India

DOI:

https://doi.org/10.32628/IJSRSET229638

Keywords:

A*, Autonomous robot, D*, Motion Planning, Path Planning, Probabilistic Roadmap, PRM, Robotics

Abstract

Motion Planning is computational problem of geometry to find continuous and optimal path from source to destination in multidimensional environment. Today’s automation world for industry 4.0 works on multiple technologies where robotics is core part of industry 4.0. To achieve optimal solution with robotics and automation motion planning is crucial area of research. This paper proposes study about motion planning sampling-based algorithm and latest research and development of new variant of probabilistic roadmap algorithm in which researcher achieve optimal solution and reduce time complexity. Main logic behind PRM algorithm is learning phase and query phase. In learning phase, construction of basic road map take place and in query phase, different techniques are used to reach destination by optimal path for different environment.

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Published

2022-12-30

Issue

Section

Research Articles

How to Cite

[1]
Maya Mehta, Priya Swaminarayan "Motion Planning in the Area of Robotics and Automation" International Journal of Scientific Research in Science, Engineering and Technology (IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 9, Issue 6, pp.266-272, November-December-2022. Available at doi : https://doi.org/10.32628/IJSRSET229638