Continuous genetic algorithm for grasping an object of a priori unknown shape by a robotic manipulator-Reference-Cited by-同舟云学术

Continuous genetic algorithm for grasping an object of a priori unknown shape by a robotic manipulator

Published:2023-02-02 Issue:1 Volume:11 Page:18-30
ISSN:2500-316X
Container-title:Russian Technological Journal
language:
Short-container-title:Rossijskij tehnologičeskij žurnal

Author:

Voronkov A. D.¹^ORCID,Diane S. A.K.¹^ORCID

Affiliation:

1. MIREA – Russian Technological University

Publisher

RTU MIREA

Subject

General Materials Science

Reference15 articles.

1. Lei Q., Wisse M. Fast grasping of unknown objects using cylinder searching on a single point cloud. In: Ninth International Conference on Machine Vision (ICMV 2016). 2016. V. 10341. https://doi.org/10.1117/12.2268422

2. Sundermeyer M., Mousavian A., Triebel R., Fox D. Contact-GraspNet: efficient 6-DoF grasp generation in cluttered scenes. arXiv [Preprint]. 2021. 7 p. Available from URL: https://arxiv.org/abs/2103.14127

3. Breyer M., Chung J., Ott L., Siegwart R., Nieto J. Volumetric grasping network: Real-time 6 DOF grasp detection in clutter. In: 4th Conference on Robot Learning (CoRL 2020). P. 1602–1611. Available from URL: https://proceedings.mlr.press/v155/breyer21a/breyer21a.pdf

4. Lippiello V., Ruggiero F., Siciliano B., Luigi V. Visual grasp planning for unknown objects using a multifingered robotic hand. IEEE/ASME Transactions on Mechatronics. 2013;18(3):1050–1059. https://doi.org/10.1109/TMECH.2012.2195500

5. Lei Q., Meijer J., Wisse M. A survey of unknown object grasping and our fast grasping algorithm-C shape grasping. In: 2017 3rd International Conference on Control, Automation and Robotics (ICCAR). P. 150–157. https://doi.org/10.1109/ICCAR.2017.7942677

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