Topic
Mobile robot navigation
About: Mobile robot navigation is a research topic. Over the lifetime, 14713 publications have been published within this topic receiving 263092 citations.
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TL;DR: A novel application of robotic technologies to education is presented, where the real world situatedness of a robot is used to teach non-robotic related subjects, such as math and physics.
Abstract: So far, most of the applications of robotic technology to education have mainly focused on supporting the teaching of subjects that are closely related to the Robotics field, such as robot programming, robot construction, or mechatronics. Moreover, most of the applications have used the robot as an end or a passive tool of the learning activity, where the robot has been constructed or programmed. In this paper, we present a novel application of robotic technologies to education, where we use the real world situatedness of a robot to teach non-robotic related subjects, such as math and physics. Furthermore, we also provide the robot with a suitable degree of autonomy to actively guide and mediate in the development of the educational activity. We present our approach as an educational framework based on a collaborative and constructivist learning environment, where the robot is able to act as an interaction mediator capable of managing the interactions occurring among the working students. We illustrate the use of this framework by a 4-step methodology that is used to implement two educational activities. These activities were tested at local schools with encouraging results. Accordingly, the main contributions of this work are: i) A novel use of a mobile robot to illustrate and teach relevant concepts and properties of the real world; ii) A novel use of robots as mediators that autonomously guide an educational activity using a collaborative and constructivist learning approach; iii) The implementation and testing of these ideas in a real scenario, working with students at local schools.
104 citations
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04 May 1997TL;DR: A navigation system is presented, that is based on the use of radio frequency identification (RFID) as artificial landmark system, that enables the robot to reach any reachable landmark in its environment through a topological robot positioning approach.
Abstract: Autonomous mobile robots are expected to be a solution for a vast of applications in service and industry applications. However, a great and still unsolved problem for most environments and applications is the robust and cheap positioning, i.e. the determination of the robot's current position. A navigation system is presented, that is based on the use of radio frequency identification (RFID) as artificial landmark system. In combination with the presented behavior based control architecture this system enables the robot to reach any reachable landmark in its environment through a topological robot positioning approach. A technique called re-classification (which depends on the special features and advantages of RFID systems) is presented that makes it possible to determine the robot's exact global position in presence of a landmark. Based on this accurate position (i.e. its coordinates) the robot can reach an arbitrary goal specified by coordinates even if it is not marked with a RFID landmark.
104 citations
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104 citations
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11 Feb 1965104 citations
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01 Jan 1998TL;DR: This work addresses the problem of detecting and tracking people with a mobile robot, which arises in many different service robotic applications and the main problems are realtimeconstraints, a changing background, varying illumination conditions and a non-rigid shape of the person to be tracked.
Abstract: We address the problem of detecting and tracking people with a mobile robot. The need for following a person with a mobile robot arises in many different service robotic applications. The main problems of this task are realtimeconstraints, a changing background, varying illumination conditions and a non-rigid shape of the person to be tracked. The presented system has been tested extensively on a mobile robot in our everyday office environment.
104 citations