Multi Robot Path Planning Based on Cuckoo Search and With PSO Algorithm in the Complex and the Unknown Environment
Shubham Shukla1, NK Shukla2, Vibhav Kumar Sachan3, Sanjeev Sharma4
1Shubham Shukla Department of Electronics and Communications, J.K Institute of Applied Physics, Central University of Allahabad.
2NK Shukla Department of Electronics and Communications, J.K Institute of Applied Physics, Central University of Allahabad.
3Vibhav Kumar Sachan, Department of Electronics and Communications KIET Group of Institutions, Ghaziabad.
4Sanjeev Sharma Department of Computer Science Engineering Indian Institute of Information Technology, Pune.
Manuscript received on November 20, 2019. | Revised Manuscript received on November 26, 2019. | Manuscript published on 30 November, 2019. | PP: 2824-2832 | Volume-8 Issue-4, November 2019. | Retrieval Number: D6813118419/2019©BEIESP | DOI: 10.35940/ijrte.D6813.118419
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: For an efficient operation of and autonomous robots or agents optimization of the path is an essential feature. In my proposed paper I will discuss about the CS Algorithm its parameter analysis and how it is applied on the mobile robot in an intricate environment with numerous amount of static obstacles. Taking the concept from the flight behavior of the cuckoo this meta-heuristic algorithm is designed.[1] We will show the different parameters of traversing by agents in terms of coverage, time, movement and energy between its targets and obstacles, based on these parameter we can identify the target seeking behavior and obstacle avoidance of the robot, then the comparison will be made between path planning with PSO algorithm and Cuckoo search[2] algorithm depending on various parameter analysis. With the help of both the algorithm which is the Cuckoo Search and PSO algorithm we will try to show how robot avoids the obstacle and proceed towards the target, when the robot reaches its goal we shall be able to justify that it has followed the smooth optimal trajectory within the frame or the desired environment.
Keywords: Path Planning; Cuckoo Search; Parameter Analysis And Comparison; Optimal Trajectory.
Scope of the Article: Problem Solving and Planning.