Robust Monte Carlo localization for mobile robots
Artificial Intelligence
A Probabilistic Approach to Collaborative Multi-Robot Localization
Autonomous Robots
Probabilistic Robotics (Intelligent Robotics and Autonomous Agents)
Probabilistic Robotics (Intelligent Robotics and Autonomous Agents)
Pattern Recognition, Third Edition
Pattern Recognition, Third Edition
Expert Systems with Applications: An International Journal
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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.