Abstract
The paper presents the trajectory organization with obstacles for a Mobile robot. In this paper, there are four features: (1) We design octomorphic trajectory by using Neural Network. (2) We generate the safety collision-avoidance trajectory with fuzzy logic. (3) We combine Neural Network and fuzzy logic for trajectory organization with obstacles. (4) We construct the simulation to prove the proposed approach in this paper.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
More From: Journal of aeronautics, astronautics and aviation, Series A
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.