Cooperative Robot Grasping Based On Supervised Learning
Authors: 
Li Shipei, Cui Guohua, Han JiapuAuthors Info & Claims
Li Shipei, Cui Guohua, Han JiapuAuthors Info & ClaimsPages 443 - 448
Abstract
Aiming at the problem of grasping objects under different lighting conditions and positions, A method based on supervised learning under the guidance of vision to accurately recognize objects is put forward, Firstly, the center of the object is determined through the diagonal center, and the pixel coordinate of the object center is converted into the terminal coordinate of the robot through camera calibration and hand-eye calibration. Then, the programming is carried out on the robot instructor to obtain a grasping route through path planning.Through many experiments and analyses, it is proved that the supervised learning method of directional gradient histogram and support vector machine can precisely locate the target, which has certain reference value for robot grasping.
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Index Terms
- Cooperative Robot Grasping Based On Supervised Learning
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Published In
September 2019
803 pages
ISBN:9781450372985
DOI:10.1145/3366194
Copyright © 2019 ACM.
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Association for Computing Machinery
New York, NY, United States
Publication History
Published: 20 September 2019
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RICAI 2019
RICAI 2019: 2019 International Conference on Robotics, Intelligent Control and Artificial Intelligence
September 20 - 22, 2019
Shanghai, China
Acceptance Rates
RICAI '19 Paper Acceptance Rate 140 of 294 submissions, 48%;
Overall Acceptance Rate 140 of 294 submissions, 48%
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