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ISSN 2063-5346
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Path Planning for Mobile Robots using MATLAB and QBOT

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Prasanthi Rathnala, Srinivasa Rao Sura, M.S.Pradeep Kumar Patnaik,Manapuram Uma Nitish Babu
» doi: 10.48047/ecb/2023.12.si4.1513

Abstract

The main aim of this project is to find the shortest path for the autonomous vehicle by using the MATLAB tool which consists of different libraries and which is classified on the concept of Motion planning. Motion planning is like path planning which is to find a sequence of valid configurations that moves the object from source to destination. Path planning algorithms like RRT,A* algorithms are used for developing mobile robots, and autonomous cars in order to find safe, efficient working. Path planning also provides collision-free paths, and least cost travel paths from a source to the destination. Path planning helps in safe and effective navigation, and the optimal algorithm depends on the robot geometry. One such best way for choosing the best path planning approach to avoid path planning problems is using a ‘Graph’. There are two popular approaches for creating a graph one is “Search based” algorithm like A* and the other RRT and RRT* are comes under “sampling based” algorithms.

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