Offline Welding Programming
Offline Welding Programming is a computational methodology in robotics that enables the creation, simulation, and optimization of weld paths and process parameters in a virtual environment distinct from the physical welding cell, thereby decoupling programming activities from production time and resources.
17
Publications
582
Citations
60
Authors
30
Institutions
Publications per year
2017–2026
10
Variants
Offline Programming For WeldingOffline Robot Programming For Welding
Parents
17
Yan Liu, Qiu Tang, Xincheng Tian et al. · Robotics and Computer-Integrated Manufacturing · 2023 · 45 citations
Engineering, Manufacturing Engineering, Robotics Engineering +14
Intelligent Guidance Programming of Welding Robot for 3D Curved Welding Seam
Bo Zhou, Yirong Liu, Yao Xiao et al. · IEEE Access · 2021 · 44 citations · Full text
Engineering, Manufacturing Engineering, Robotics Engineering +17
1–5 of 17
60
2
h-index
National Taiwan University of Science and Technology, Taiwan
2 publications · 65 citations
2
h-index
1
h-index
1
h-index
1
h-index
1–5 of 60
30
Shandong University
Jinan, China
2 h-index
6 publications
250 citations
National Taiwan University of Science and Technology
Taipei, Taiwan
2 h-index
4 publications
130 citations

University of Greenwich
London, United Kingdom
1 h-index
1 publications
16 citations
Georg Simon Ohm University of Applied Sciences Nuremberg
Nuremberg, Germany
1 h-index
3 publications
66 citations
Ministry of Education of the People's Republic of China
Beijing, China
1 h-index
4 publications
180 citations
HUN-REN Institute for Computer Science and Control
Budapest, Hungary
1 h-index
5 publications
175 citations
Université de Bourgogne
Dijon, France
1 h-index
1 publications
143 citations
Nha Trang University
Nha Trang, Vietnam
1 h-index
1 publications
16 citations
1–8 of 30
3 publications · 223 citations
3
h-index
2 publications · 67 citations
2
h-index
2 publications · 97 citations
2
h-index
2 publications · 42 citations
2
h-index
2 publications · 36 citations
2
h-index
1–5