Optimization of mobile robot path planning in semi-dynamic environment using genetic algorithm
In an Industry 4.0 framework, mobile robots are designed to perform tasks autonomously, allowing manufacturers to transform their operations which can be carried out through various integrated applications. Manufacturers could improve their productivity by remotely monitoring mobile robots and contr...
Saved in:
Main Author: | Kasim Hawari, Mohd Zarifitri |
---|---|
Format: | Thesis |
Language: | English English |
Published: |
2023
|
Subjects: | |
Online Access: | http://eprints.utem.edu.my/id/eprint/28285/1/Optimization%20of%20mobile%20robot%20path%20planning%20in%20semi-dynamic%20environment%20using%20genetic%20algorithm.pdf http://eprints.utem.edu.my/id/eprint/28285/2/Optimization%20of%20mobile%20robot%20path%20planning%20in%20semi-dynamic%20environment%20using%20genetic%20algorithm.pdf |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Performance comparison between genetic algorithm and ant colony optimization algorithm for mobile robot path planning in global static environment / Nohaidda Sariff
by: Sariff, Nohaidda
Published: (2011) -
Path planning algorithm for a car like robot based on MILP method
by: Mohd Sadri, Mohd Pawzi
Published: (2013) -
Path planning for constant speed robot
by: Abdullah @ Idris, Ahmad Takiyuddin
Published: (2006) -
Path planning algorithm for a car-like robot based on cell decomposition method
by: Omar, Nurhanum
Published: (2013) -
Hybrid fastslam approach using genetic algorithm and particle swarm optimization for robotic path planning
by: Khairuddin, Alif Ridzuan
Published: (2016)