Title :
Bring consciousness to mobile robot being localized
Author :
Wu, Dan ; Chen, Jingxi ; Wang, Yuefeng
Author_Institution :
Sch. of Comput. Sci., Univ. of Windsor, Windsor, ON, Canada
Abstract :
Mobile robot localization is one of the most important problems in robotics research. A number of successful localization solutions have been proposed. However, in all these methods, the success or failure of localization is judged by normally a human operator of the robot, and the robot itself does not know whether it has or has not been localized. In this paper, we put forth a novel method to bring consciousness to a mobile robot so that the robot can judge by itself. In addition, the robot itself can monitor the progress of localization, hence, is able to adjust its behavior accordingly. A mobile robot with consciousness is obviously more autonomous and intelligent than one without.
Keywords :
mobile robots; path planning; position control; global localization; local localization; mobile robot; robot consciousness; Algorithm design and analysis; Biomimetics; Clustering algorithms; Grid computing; Humans; Mobile robots; Monitoring; Monte Carlo methods; Robot kinematics; Robot sensing systems;
Conference_Titel :
Robotics and Biomimetics (ROBIO), 2009 IEEE International Conference on
Conference_Location :
Guilin
Print_ISBN :
978-1-4244-4774-9
Electronic_ISBN :
978-1-4244-4775-6
DOI :
10.1109/ROBIO.2009.5420582