Estimation of position and orientation of multiple robots handling an unknown single object in coordination

Kazuhiro Kosuge; Hiroyuki Seki

Estimation of position and orientation of multiple robots handling an unknown single object in coordination

Kazuhiro Kosuge, Hiroyuki Seki

ENG - Robotics

Research output: Contribution to conference › Paper › peer-review

6 Citations (Scopus)

Abstract

In this paper, we propose a method to estimate geometrical relations among grasping points of robots handling an unknown single object in coordination. The method utilizes the velocity relation between a grasping point of a robot and that of the reference robot. The relation among the grasping points of robots is estimated recursively by the extended Kalman filter. Simulation and experimental results using two mobile robots illustrate the effectiveness of the proposed method.

Original language	English
Pages	984-989
Number of pages	6
Publication status	Published - 1999 Dec 1
Event	1999 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS'99): Human and Environment Friendly Robots whith High Intelligence and Emotional Quotients' - Kyongju, South Korea Duration: 1999 Oct 17 → 1999 Oct 21

Other

Other	1999 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS'99): Human and Environment Friendly Robots whith High Intelligence and Emotional Quotients'
City	Kyongju, South Korea
Period	99/10/17 → 99/10/21

ASJC Scopus subject areas

Control and Systems Engineering
Software
Computer Vision and Pattern Recognition
Computer Science Applications

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Estimation of position and orientation of multiple robots handling an unknown single object in coordination. / Kosuge, Kazuhiro; Seki, Hiroyuki.

1999. 984-989 Paper presented at 1999 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS'99): Human and Environment Friendly Robots whith High Intelligence and Emotional Quotients', Kyongju, South Korea, .

Research output: Contribution to conference › Paper › peer-review

Kosuge, K & Seki, H 1999, 'Estimation of position and orientation of multiple robots handling an unknown single object in coordination', Paper presented at 1999 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS'99): Human and Environment Friendly Robots whith High Intelligence and Emotional Quotients', Kyongju, South Korea, 99/10/17 - 99/10/21 pp. 984-989.

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abstract = "In this paper, we propose a method to estimate geometrical relations among grasping points of robots handling an unknown single object in coordination. The method utilizes the velocity relation between a grasping point of a robot and that of the reference robot. The relation among the grasping points of robots is estimated recursively by the extended Kalman filter. Simulation and experimental results using two mobile robots illustrate the effectiveness of the proposed method.",

author = "Kazuhiro Kosuge and Hiroyuki Seki",

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AU - Seki, Hiroyuki

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N2 - In this paper, we propose a method to estimate geometrical relations among grasping points of robots handling an unknown single object in coordination. The method utilizes the velocity relation between a grasping point of a robot and that of the reference robot. The relation among the grasping points of robots is estimated recursively by the extended Kalman filter. Simulation and experimental results using two mobile robots illustrate the effectiveness of the proposed method.

AB - In this paper, we propose a method to estimate geometrical relations among grasping points of robots handling an unknown single object in coordination. The method utilizes the velocity relation between a grasping point of a robot and that of the reference robot. The relation among the grasping points of robots is estimated recursively by the extended Kalman filter. Simulation and experimental results using two mobile robots illustrate the effectiveness of the proposed method.

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Y2 - 17 October 1999 through 21 October 1999

ER -

Estimation of position and orientation of multiple robots handling an unknown single object in coordination

Abstract

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ASJC Scopus subject areas

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