Abstract
Semi-automatic mobile-robots for maintaining works in electric distribution systems have been developed by Kyushu Electric Power Company in Japan. This robot can greatly reduce the demands on the human operator, although some human intervention is still required to perform such tasks as insulator recognition, positional adjustments of the robot, and guidance toward electric lines and insulators. We develop a 3D object recognition and localization system for robot's positional adjustment. For localization to be useful and practical, the method is designed to be insensitive to outliers. Our algorithm is general enough to be applied not only to our dual-armed mobile robots but also to other teleoperation robots. This algorithm should greatly reduce the burden of human operators when it is applied to the robot. This paper first describes our algorithm, and then presents a performance evaluation.
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.
