Modeling, Analysis, and Optimization of Robotic Light Machining Tasks for Empowering Digital Twin: Generalized Impulse Model Approach-Reference-Cited by-同舟云学术

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Modeling, Analysis, and Optimization of Robotic Light Machining Tasks for Empowering Digital Twin: Generalized Impulse Model Approach

Published:2022 Issue: Volume:10 Page:105133-105148
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Imran Abid¹^ORCID,Kim Sanghwa²^ORCID,Woo Jaehong³^ORCID,Yi Byung-Ju⁴^ORCID

Affiliation:

1. Faculty of Mechanical Engineering, GIK Institute of Engineering Sciences and Technology, Swabi, Pakistan

2. Department of Electrical and Electronic Engineering, Hanyang University, Ansan, South Korea

3. Department of Robotics and Convergence, Hanyang University, Ansan, South Korea

4. School of Electrical Engineering, Hanyang University, Ansan, South Korea

Funder

Technology Innovation Program (or Industrial Strategic Technology Development Program)

Ministry of Trade, Industry & Energy

BK21FOUR Program

National Research Foundation of Korea

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/9668973/09904774.pdf?arnumber=9904774

Reference51 articles.

1. Industrie 4.0—Digital redesign of product creation and production in Berlin as an industrial location;stark;The Internet of Things,2017

2. Identifying helpful online reviews: A product designer’s perspective

3. Adaptive reconstruction of digital twins for machining systems: A transfer learning approach

4. About The Importance of Autonomy and Digital Twins for the Future of Manufacturing

5. Impulse Modeling and New Impulse Measure for Human-Like Closed-Chain Manipulator

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Digitalization in Production Logistics: How AI, Digital Twins, and Simulation Are Driving the Shift from Model-based to Data-driven Approaches;International Journal of Precision Engineering and Manufacturing-Smart Technology;2023-07-01

2. A review of digital twin-driven machining: From digitization to intellectualization;Journal of Manufacturing Systems;2023-04

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