Abstract
Simultaneous localization and mapping (SLAM) for mobile robots is critical to realize the fully autonomous navigation. In this paper a general framework of simultaneous localization and mapping is proposed for mobile robots. Sequentially every parts of the framework are designed in detail. Finally the feasibility of the proposed framework is verified by the experiment based on point model and extended Kalman filter algorithmic approach. In conclusion the future direction of research is pointed out. The aim is to provide a feasible framework to research on simultaneous localization and mapping with researchers and to promote the development of robotic technologies.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: 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.
