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This paper describes an implementation of a mobile robot system in a 1 km autonomous mobile robot navigation challenge called ‘Tsukuba Challenge 2010’ which was held in the city of Tsukuba, Ibaraki, Japan. The mobile robot used only three types of sensors which were a magnetic sensor, two wheel encoders, and a laser range finder. For a stable navigation, we have proposed a method that is able to localize and perform trajectory tracking based on patterns of the magnetic field's intensity that occurs in the environment. It was divided into two distinct parts of map building and navigating. In the map building, the mobile robot was operated by a joystick along the course of the challenge to record the environmental magnetic field to build a map. The mobile robot then navigated by using a trajectory tracking method based on the map. During the seven trials which were given before the qualifying and final runs, the mobile robot completed the full course three times with once in small rain. [ABSTRACT FROM AUTHOR]

GPS and laser range finders are generally utilized in current robot navigation. However, information from the magnetic field and electronic compass is not, since it is dynamically changing at every position. In this paper, the relationship between the intensity of a magnetic field in the environment and its position is taken into account by utilizing a three-axis magnetic sensor to scan the magnetic field in the environment to build a database. The mobile robot navigates by performing trajectory tracking based on the database. The experimental results show that by applying the proposed method, the mobile robot is able to navigate in an outdoor environment with reliable accuracy. [ABSTRACT FROM AUTHOR]

A wheel-type mobile robot is simply able to localize with odometry. However, for mobile agricultural robots, it is necessary to consider that the environment is uneven terrain. Therefore, odometry is unreliable and it is necessary to augment the odometry by measuring the position of the robot relative to known objects in the environments. This paper describes the application of localization based on the DC magnetic field that occurs in the environment on mobile agricultural robots. In this research, a magnetic sensor is applied to scan the DC magnetic field to build a magnetic database. The robot localizes by matching magnetic sensor readings against the magnetic database. The experimental results indicate that the robot is able to localize accurately with the proposed method and the cumulative error can be eliminated by applying the localization results to compensate for the odometry. [ABSTRACT FROM AUTHOR]

Presents a study which developed a wireless communication system for soccer robots. How the communication system transmits information to the robot system; Features of the robot system.