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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Joo-Hyung Kim Jeong-Eom Lee Hyun-Gu Lee Gwi-Tae Park |
| Copyright Year | 2009 |
| Description | Author affiliation: graduate students in the Department of Electrical Engineering in Korea University, 1-5 Ka, Anam-dong, Seongbuk-gu, Seoul, Korea (Joo-Hyung Kim; Jeong-Eom Lee; Hyun-Gu Lee) || Department of Electrical Engineering in Korea University, Anam-dong, Seongbuk-gu, Seoul, Korea (Gwi-Tae Park) |
| Abstract | Intelligent Space is an area to perceive and understand what is happening in it, which provides diverse services to human and robots. We expect that Intelligent Space offers a lot of benefits as a good platform for robots. For example, robots can move by the guidance of Intelligent Space although they don't know about the environment. If a new robot comes in Intelligent Space, the robot wants to receive the guidance service from the space for its navigation. So, the space should perceive and control the robot, since it doesn't know anything about the space. In this paper, we propose a new algorithm for controlling an unknown robot in Intelligent Space. An unknown robot is an unidentified or new coming robot that an intelligent space has not yet known it. Objectives of the algorithm are to estimate the location of robot, to navigate it, and to identify it. The algorithm uses a color-based particle filter to estimate the location of robot and a predefined motion pattern to identify the robot. To evaluate the proposed algorithm, we command that a mobile robot moves according trajectory of robot. |
| Starting Page | 581 |
| Ending Page | 586 |
| File Size | 877448 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781424450817 |
| ISSN | 19449445 |
| DOI | 10.1109/ROMAN.2009.5326287 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2009-09-27 |
| Publisher Place | Japan |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Intelligent robots Orbital robotics Intelligent sensors Mobile robots Robot sensing systems Robot control Computational intelligence Human robot interaction Simultaneous localization and mapping Intelligent networks |
| Content Type | Text |
| Resource Type | Article |
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