Moving Object Prediction and Grasping System of Robot Manipulator-Reference-Cited by-同舟云学术

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Moving Object Prediction and Grasping System of Robot Manipulator

Published:2022 Issue: Volume:10 Page:20159-20172
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Wong Ching-Chang¹^ORCID,Chien Ming-Yi¹,Chen Ren-Jie¹^ORCID,Aoyama Hisayuki²,Wong Kai-Yi³^ORCID

Affiliation:

1. Department of Electrical and Computer Engineering, Tamkang University, New Taipei City, Taiwan

2. Department of Mechanical and Intelligent Systems Engineering, The University of Electro-Communications, Tokyo, Japan

3. Department of Electrical Engineering, Chung Yuan Christian University, Taoyuan City, Taiwan

Funder

Ministry of Science and Technology (MOST), Taiwan

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science

Link

http://xplorestaging.ieee.org/ielx7/6287639/9668973/09714383.pdf?arnumber=9714383

Reference36 articles.

1. Closing the Loop for Robotic Grasping: A Real-time, Generative Grasp Synthesis Approach

2. GraspCNN: Real-Time Grasp Detection Using a New Oriented Diameter Circle Representation

3. Real-time grasp detection using convolutional neural networks

4. Microsoft COCO: Common objects in context;lin;Proc Eur Conf Comput Vis,2014

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3. Robot Manipulation of Dynamic Object with Vision-Based Reinforcement Learning;2024 9th International Conference on Control and Robotics Engineering (ICCRE);2024-05-10

4. A novel robotic grasping method for moving objects based on multi-agent deep reinforcement learning;Robotics and Computer-Integrated Manufacturing;2024-04

5. Computing the Orientation of Hardware Components from Images Using Traditional Computer Vision Methods;IMC39;2024-03-01

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