This paper describes a trajectory tracking method using environmental magnetic field for outdoor autonomous mobile robots. In this research, a 3-axis magnetic sensor is used to scan DC magnetic field in the outdoor environment to build a database. The robot then performs trajectory tracking based on the database. The experimental results show that by applying the proposed method the robot is possibly able to navigate in the outdoor environment with a reliable accuracy.
S. A. Rahok is Ph. D. Candidate with
In this study, we have developed teaching material for helping technical high-school students understand control techniques. Students understand control techniques through the emotion obtained from the experience of riding a robot. We have considered the correspondence of the teaching material with the ARCS Model. Therefore, the material is aimed at improving student’s interest and willingness to learn mechatronics and control techniques by experience the difference of the response by the change in the control parameters. By performing an experiment, we have verified the educative effect of the teachingmaterial, which can improve the willingness of students to learn and their interest in mechatronics and control techniques.
In nursing homes, repeatedly guiding several carereceivers in wheelchairs before and after meals is one of the factors that increase the burden on caregivers. A solution to this problem is to incorporate autonomous mobility functions into the wheelchair. Although many autonomous electric wheelchairs have been developed in the past, it is not reasonable to introduce them to all users of nursing homes from the standpoint of cost, charging, and maintenance. In this study, we are developing a detachable robot that can operate a manual wheelchair autonomously. The basic concept, target specifications, and design conditions are defined herein, and the results of basic experiments such as straight-line stability tests, obstacle sensor measurement tests, and self-position estimation are reported. The implementation of autonomous driving functions such as path generation and localization will be promoted in the future.
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