Yoshihiko Kimuro

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In recent years, RFID (radio frequency identification) system has become very popular in service industries, logistics and manufacturing, as it is an inexpensive and reliable device for automatic identification. Therefore, RFID system would be useful in a problem of mobile robot self-localization, if tags are distributed in the environment, and if the robot(More)
This paper describes a platform of ambient intelligence for robots working in an ordinary environment for daily human life. To enable autonomous robotic activities, vision sensors and RFID tags are distributed in the environment and are connected to a network. The data from distributed sensors are integrated, and are provided to robots to support their(More)
In this paper, we propose a method for global localization in non-stationary environments, where the environment is partially or completely different from the map. We assume there is no moving object. It is difficult to detect changes when both of the self-position and the map have large uncertainties. To solve the problem, we extended Monte Carlo(More)
Our goal is to develop a new vision system for detecting mobile robots and their motion sequences in office environments. The vision system watches a sequence of images acquired by the vision sensor, as well as a sequence of robot's command transmitted via a wireless network. To identify the robot, a sequence of motion is extracted for a moving object in(More)
This work is concerned with the problem of robot localization using standard RFID tags as landmarks and an RFID reader as a landmark sensor. A main advantage of such an RFID-based localization system is the availability of landmark ID measurement, which trivially solves the data association problem. While the main drawback of an RFID system is its low(More)