Real Time Collision free Robot Path planning in Dynamic Space

Moving robots are used nowadays in real life, and it is essential to make them able to create safe paths to move in different environments automatically. In this research, the PSO algorithm along with the image processing technique, were utilized to generate a path for a mobile robot in a dynamic tw...

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Bibliographic Details
Published inThe ... CSI International Symposium on Artificial Intelligence & Signal Processing (Online) pp. 1 - 5
Main Authors Javan, Sobhan, Babazadeh, Hadiseh
Format Conference Proceeding
LanguageEnglish
Published IEEE 21.02.2024
Subjects
Heuristic algorithms
Image processing
learning
Learning systems
optimization
Path planning
Python
Signal processing
Signal processing algorithms
Simulation
Online AccessGet full text
ISSN2640-5768
DOI10.1109/AISP61396.2024.10475292

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Summary:Moving robots are used nowadays in real life, and it is essential to make them able to create safe paths to move in different environments automatically. In this research, the PSO algorithm along with the image processing technique, were utilized to generate a path for a mobile robot in a dynamic two-dimensional environment with some obstacles. To simulate the dynamic environment, the number, size, and position of obstacles are assumed to change randomly, and the generated path is modified at each step according to the new state. Also, the position of the target is assumed to change during the path generation. Codes are written in Python to simulate the PSO algorithm and path planning procedure, and they verify how the path can be created in a dynamic space.
ISSN:2640-5768
DOI:10.1109/AISP61396.2024.10475292