A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2022; you can also visit the original URL.
The file type is application/pdf
.
Genetic Algorithm-Based Trajectory Optimization for Digital Twin Robots
2022
Frontiers in Bioengineering and Biotechnology
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 robot based on the digital twin of the robot. The digital twin of the mobile robot is created by Unity, and the trajectory of the mobile robot is trained in the virtual environment and applied to the
doi:10.3389/fbioe.2021.793782
pmid:35083202
pmcid:PMC8784515
fatcat:uttfa5am4bcdpoey3icpkezdke