Abstract
The traditional path-planning algorithm is used for static environment only. By presenting a novel method for optimal path planning in a dynamic environment, a solution based on fuzzy logic, Ant Colony System (ACS) algorithm and Grid method were discovered. The studio Microsoft Robotics Developer was chosen to perform the 3D simulation of this method and the result shows that the method discussed in this paper is effective, and can be applied to other dynamic environment for real-time globally optimized path planning of Intelligent Mobile Robots.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.