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  • Search: subject:"Robot grasping"
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Year of publication
Subject
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Robot grasping 2 Deep belief neural network 1 Object recognition 1 Point cloud 1 Pose estimation 1 Robot manipulator 1 Teaching methods 1
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Undetermined 2
Type of publication
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Article 2
Type of publication (narrower categories)
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research-article 2
Language
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English 2
Author
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Capi, Genci 1 Chen, Xi 1 Hossain, Delowar 1 Jindai, Mitsuru 1 Kaneko, Shin-ichiro 1 Li, Lin 1 Zhang, Tie 1
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Published in...
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Industrial Robot: An International Journal 1 Industrial Robot: the international journal of robotics research and application 1
Source
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Other ZBW resources 2
Showing 1 - 2 of 2
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Pose estimation of metal workpieces based on RPM-Net for robot grasping from point cloud
Li, Lin; Chen, Xi; Zhang, Tie - In: Industrial Robot: the international journal of robotics … 49 (2022) 6, pp. 1178-1189
Purpose Many metal workpieces have the characteristics of less texture, symmetry and reflectivity, which presents a challenge to existing pose estimation methods. The purpose of this paper is to propose a pose estimation method for grasping metal workpieces by industrial robots....
Persistent link: https://www.econbiz.de/10014835510
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Cover Image
Pick-place of dynamic objects by robot manipulator based on deep learning and easy user interface teaching systems
Hossain, Delowar; Capi, Genci; Jindai, Mitsuru; Kaneko, … - In: Industrial Robot: An International Journal 44 (2017) 1, pp. 11-20
Purpose Development of autonomous robot manipulator for human-robot assembly tasks is a key component to reach high effectiveness. In such tasks, the robot real-time object recognition is crucial. In addition, the need for simple and safe teaching techniques need to be considered, because: small...
Persistent link: https://www.econbiz.de/10014835602
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