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Robot peg-in-hole assembly based on contact force estimation compensated by convolutional neural network

  • Published:2022-03 Issue: Volume:120 Page:105012
  • ISSN:0967-0661
  • Container-title:Control Engineering Practice
  • language:en
  • Short-container-title:Control Engineering Practice

Author:

Zhang TieORCID,Liang XiaohongORCID,Zou Yanbiao

Funder

Science and Technology Planning Project of Guangdong Province

National Major Science and Technology Projects of China

Publisher

Elsevier BV

Subject

Applied Mathematics,Electrical and Electronic Engineering,Computer Science Applications,Control and Systems Engineering

Reference32 articles.

1. Fusing and refining convolutional neural network models for assembly action recognition in smart manufacturing;Al-Amin;Proceedings of the Institution of Mechanical Engineers Part C-Journal of Mechanical Engineering Science,2020

2. Electricity price prediction based on hybrid model of adam optimized LSTM neural network and wavelet transform;Chang;Energy,2019

3. Introduction to robotics: Mechanics and control;Craig,2005

4. Stereo vision-based object recognition and manipulation by regions with convolutional neural network;Du;Electronics,2020

5. Object classification using CNN-based fusion of vision and LIDAR in autonomous vehicle environment;Gao;IEEE Transactions on Industrial Informatics,2018

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