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Abstract

Evolutions in Mechanical Engineering

Path Planning and Obstacle Avoidance using Grasshopper Algorithm

  • Open or CloseVarsha Dubey1, Snehlata Barde1 and Brijesh Patel2*

    1MATS School of Information Technology, MATS University, Raipur (CG), India

    2MATS School of Engineering and IT, MATS University, Raipur (CG), India

    *Corresponding author:Brijesh Patel, MATS School of Engineering and IT, MATS University, Raipur (CG), India

Submission: July 17, 2023;Published: July 31, 2023

DOI: 10.31031/EME.2023.04.000599

ISSN: 2640-9690
Volume4 Issu5

Abstract

The Grasshopper Optimization Algorithm (GOA) is suggested in this study as a path planning and obstacle avoidance method for mobile robots. The program mimics grasshopper swarming behavior to imitate their movement and interaction and discover the best routes while avoiding obstacles. To direct the robot’s movement, the algorithm considers social interaction, gravity, wind advection and obstacle avoidance parameters. Simulations show the algorithm’s efficiency in locating the best routes and dodging hazards. The GOA-based method offers a nature-inspired alternative for autonomous mobile robot navigation.

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