9/1/2023 0 Comments Robot vacuum simulator 2013Autonomous map building focuses on the widely used simultaneous localization and mapping (SLAM) approach. In the probabilistic localization section, we discuss the Markov localization and Kalman filter along with its extended versions. Then, we discuss key techniques to localize the mobile robot such as: probabilistic approach, autonomous map building and radio frequency identification (RFID) based scheme. Next, we discuss on robot position update principles. ![]() First, we classify the localization problems in to three categories based on the information of initial position of the robot. This paper, presents a comprehensive review on localization system, problems, principle and approaches for mobile robots. For efficient navigation, these robots need to adopt effective localization strategy. Localization forms the heart of various autonomous mobile robots.
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