Robot Grasping Stability Prediction Network based on Feature-fusion and Feature-reconstruction of Tactile Information-Reference-Cited by-同舟云学术

Robot Grasping Stability Prediction Network based on Feature-fusion and Feature-reconstruction of Tactile Information

Published:2022-08-07 Issue: Volume: Page:
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Container-title:2022 IEEE International Conference on Mechatronics and Automation (ICMA)
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Author:

Li Tong¹,Shu Xin²,Yang Kai¹,Wu Chufeng³,Chen Gang¹

Affiliation:

1. Beijing University of Posts and Telecommunications, No.10, Xitucheng Road, Haidian District,School of Modern Post (School of Automation),Beijing,China

2. State Key Laboratory of Transducer Technology, Aerospace Information Research Institute, Chinese Academy of Sciences, No.19, West Road, North 4th Ring Road, Haidian District,Beijing,China

3. Institute of Software, Chinese Academy of Sciences, No.4, South Fourth Street, Zhongguancun, Haidian District,Beijing,China

Funder

National Natural Science Foundation of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9855896/9855897/09856386.pdf?arnumber=9856386

Reference17 articles.

1. Grasp stability prediction using tactile information;qin;Proc International Conference on Advanced Robotics and Mechatronics,2018

2. Self-Recognition Grasping Operation with a Vision-Based Redundant Manipulator System

3. Flexible Tactile Electronic Skin Sensor with 3D Force Detection Based on Porous CNTs/PDMS Nanocomposites

4. An End-to-End Grasping Stability Prediction Network for Multiple Sensors

5. Fast R-CNN

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