Object Positioning by Visual Servoing Based on Deep Learning-Reference-Cited by-同舟云学术

Object Positioning by Visual Servoing Based on Deep Learning

Published:2019 Issue:11 Volume:55 Page:717-725
ISSN:0453-4654
Container-title:Transactions of the Society of Instrument and Control Engineers
language:en
Short-container-title:Transactions of the Society of Instrument and Control Engineers

Author:

TOKUDA Fuyuki¹,ARAI Shogo¹,KOSUGE Kazuhiro¹

Affiliation:

1. Graduate School of Engineering, Tohoku University

Publisher

The Society of Instrument and Control Engineers

Link

https://www.jstage.jst.go.jp/article/sicetr/55/11/55_717/_pdf

Reference19 articles.

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2. 2) F. Chaumette and S. Hutchinson: Visual Servo Control I: Basic Approaches, IEEE Robotics Automation Magazine, 13-4, 82/90 (2006)

3. 3) W.J. Wilson, C.C. Williams Hulls and G.S. Bell: Relative End-Effector Control Using Cartesian Position Based Visual Servoing, IEEE Transactions on Robotics and Automation, 12-5, 684/696 (1996)

4. 4) C. Kingkan, S. Ito, S. Arai, T. Nammoto and K. Hashimoto: Model-Based Virtual Visual Servoing with Point Cloud Data, Proc. IEEE/RSJ International Conference on Intelligent Robots and Systems, 5549/5555 (2016)

5. 5) R. Vidal, O. Shakernia and S. Sastry: Formation Control of Nonholonomic Mobile Robots with Omnidirectional Visual Servoing and Motion Segmentation, Proc. IEEE International Conference on Robotics and Automation, 584/589 (2003)

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