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

Kazuhiro Kosuge, Hiroyuki Seki

Research output: Contribution to conferencePaperpeer-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 languageEnglish
Pages984-989
Number of pages6
Publication statusPublished - 1999 Dec 1
Event1999 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 171999 Oct 21

Other

Other1999 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS'99): Human and Environment Friendly Robots whith High Intelligence and Emotional Quotients'
CityKyongju, South Korea
Period99/10/1799/10/21

ASJC Scopus subject areas

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

Fingerprint Dive into the research topics of 'Estimation of position and orientation of multiple robots handling an unknown single object in coordination'. Together they form a unique fingerprint.

Cite this