OPTIMIZING TASK EFFICIENCY: PATH PLANNING FOR MOBILE ROBOTS

Authors

  • Muhammad Hafiz Rushdi International Islamic University Malaysia
  • Aimi Shazwani Ghazali International Islamic University Malaysia
  • Mohd Asyraf Mohd Razib International Islamic University Malaysia
  • Khairul Affendy Md Nor International Islamic University Malaysia
  • Yasir Mohd. Mustafah International Islamic University Malaysia

Abstract


In an ideal scenario, a smart mobile robot should have precise and reliable movements to navigate paths efficiently while performing tasks swiftly, accurately, and seamlessly. However, mobile robots often encounter manoeuvrability constraints, resulting in incorrect movements with a significant margin of error. This project aims to develop a mobile robot capable in planning its path based on path generation time. The examination begins with an assessment of various path planning algorithms in MATLAB. Results show that the Dijkstra path planning algorithm is chosen for implementation, providing the shortest path with the fastest completion time in simulations compared to RRT*. Future projects may explore implementing the Dijkstra algorithm as the path planner on a real robot to analyse system performance in terms of speed, stability, and reliability.

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Published

2024-06-30

How to Cite

Rushdi, M. H., Ghazali, A. S., Mohd Razib, M. A. ., Md Nor, K. A. ., & Mohd. Mustafah, Y. (2024). OPTIMIZING TASK EFFICIENCY: PATH PLANNING FOR MOBILE ROBOTS. Journal of Engineering and Technology (JET), 15(1). Retrieved from https://jet.utem.edu.my/jet/article/view/6477

Issue

Vol. 15 No. 1 (2024): JOURNAL OF ENGINEERING AND TECHNOLOGY

Section

Articles

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Copyright (c) 2024 Journal of Engineering and Technology (JET)

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