Modeling, Analysis, and Optimization of Robotic Light Machining Tasks for Empowering Digital Twin: Generalized Impulse Model Approach
- DOI
- 10.1109/access.2022.3210247
- Published
- 2022
- Container
- IEEE Access
- Publisher
- Institute of Electrical and Electronics Engineers (IEEE)
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1109/access.2022.3210247,
title = {Modeling, Analysis, and Optimization of Robotic Light Machining Tasks for Empowering Digital Twin: Generalized Impulse Model Approach},
author = {Abid Imran and Sanghwa Kim and Jaehong Woo and Byung-Ju Yi},
year = {2022},
journal = {IEEE Access},
doi = {10.1109/access.2022.3210247},
url = {https://doi.org/10.1109/access.2022.3210247}
}RIS
TY - JOUR TI - Modeling, Analysis, and Optimization of Robotic Light Machining Tasks for Empowering Digital Twin: Generalized Impulse Model Approach AU - Abid Imran AU - Sanghwa Kim AU - Jaehong Woo AU - Byung-Ju Yi PY - 2022 JO - IEEE Access DO - 10.1109/access.2022.3210247 UR - https://doi.org/10.1109/access.2022.3210247 ER -
APA
Imran, A., Kim, S., Woo, J., & Yi, B. (2022). Modeling, Analysis, and Optimization of Robotic Light Machining Tasks for Empowering Digital Twin: Generalized Impulse Model Approach. IEEE Access. https://doi.org/10.1109/access.2022.3210247
Source records
- crossref · retrieved 2026-09-27T00:15:13.968Z