Genetic Algorithm-Based Trajectory Optimization for Digital Twin Robots

Genetic Algorithm-Based Trajectory Optimization for Digital Twin Robots

Mobile robots have an important role in material handling in manufacturing and can be used for a variety of automated tasks. The accuracy of the robot’s moving trajectory has become a key issue affecting its work efficiency. This paper presents a method for optimizing the trajectory of the mobile ro...

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Bibliographic Details
Main Authors: Xin Liu, Du Jiang, Bo Tao, Guozhang Jiang, Ying Sun, Jianyi Kong, Xiliang Tong, Guojun Zhao, Baojia Chen
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-01-01
Series:Frontiers in Bioengineering and Biotechnology
Subjects:
genetic algorithm
mobile robot
digital twin
virtual model
trajectory optimization
Online Access:https://www.frontiersin.org/articles/10.3389/fbioe.2021.793782/full

Internet

https://www.frontiersin.org/articles/10.3389/fbioe.2021.793782/full

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