Abstract
Proposes a position estimation method and a path generation between current position and goal point for mobile robots. Dead reckoning has been commonly used for position estimation. However this method has inherent problems because it also accumulates estimation errors. In this paper, the authors propose a new method to increase the accuracy of estimated positions using a matching method which is applied with a least squared scheme. This approach uses features, such as corner points and edges of the object in the task environment instead of land-marks. Also, the authors discuss how to establish an environment database and propose a genetic algorithm in order to find an optimal path. It is shown that: it is possible to estimate the position of mobile robot precisely, errors are not cumulated, and the path generation method is very fast.
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.
