TY - GEN
T1 - Identification and control for an unknown robot in Intelligent Space
AU - Kim, Joo Hyung
AU - Lee, Jeong Eom
AU - Lee, Hyun Gu
AU - Park, Gwi Tae
PY - 2009
Y1 - 2009
N2 - 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 to a predefined path, and compare the path with the observed trajectory of robot.
AB - 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 to a predefined path, and compare the path with the observed trajectory of robot.
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U2 - 10.1109/ROMAN.2009.5326287
DO - 10.1109/ROMAN.2009.5326287
M3 - Conference contribution
AN - SCOPUS:72849131843
SN - 9781424450817
T3 - Proceedings - IEEE International Workshop on Robot and Human Interactive Communication
SP - 581
EP - 586
BT - RO-MAN 2009 - 18th IEEE International Symposium on Robot and Human Interactive
T2 - 18th IEEE International Symposium on Robot and Human Interactive, RO-MAN 2009
Y2 - 27 September 2009 through 2 October 2009
ER -