A data-driven method for optimizing the energy consumption of industrial robots
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These improvements typically include the implementation of new mathematical methods for robot control or optimisation of energy consumption.
“These improvements typically include the implementation of new mathematical methods for robot control or optimisation of energy consumption [118].”
From Advanced Applications of Industrial Robotics: New Trends and Possibilities (2021) · cites this paper as [118]
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Advanced Applications of Industrial Robotics: New Trends and Possibilities
Dzedzickis, A., Subačiūtė-Žemaitienė, J., Šutinys, E., Samukaitė-Bubnienė, U., & Bučinskas, V. (2021) · Applied Sciences · doi:10.3390/app12010135 · Cited by 228 · see citing works
Wang, Q., Qi, Y., & Li, R. (2026) · Sustainable Development · doi:10.1002/sd.70200 · Cited by 55 · see citing works
Big Data Life Cycle in Shop-Floor–Trends and Challenges
Pulikottil, T., Estrada-Jimenez, L. A., Abadía, J. J. P., Carrera-Rivera, A., Torayev, A., Rehman, H. U., Mo, F., Nikghadam-Hojjati, S., & Barata, J. (2023) · IEEE Access · doi:10.1109/access.2023.3253286 · Cited by 14 · see citing works
- Authors
- Zhang, M., & Yan, J.
- Affiliations
- Harbin Institute of Technology (CN)
- Corresponding author
- Yan, Jihong
- ORCID
- Zhang, Mingyang
- Venue
- Journal of Cleaner Production
- Publisher
- Elsevier BV
- Published
- 2021-02
- Volume
- 285
- Pages
- 124862
- ISSN
- 0959-6526 (ISSN-L)
- OpenAlex
- W3105381321
- Cited by
- 107
- References
- 0
- Citations by year
- 2026: 19 · 2025: 32 · 2024: 26 · 2023: 18 · 2022: 6 · 2021: 6
- FWCI
- 1.45
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Journal of Cleaner Production (publishedVersion)
- Funders
- Ministry of Industry and Information Technology of the People's Republic of China
- Ministry of Science and Technology of the People's Republic of China
- Topics
- Physical Sciences › Energy › Renewable Energy, Sustainability and the Environment › Energy Efficiency and Management
- Physical Sciences › Engineering › Control and Systems Engineering › Robotic Mechanisms and Dynamics
- Physical Sciences › Engineering › Control and Systems Engineering › Robotics and Automated Systems
- Keywords
- industrial robots, energy optimization, energy conservation, data-driven modeling, artificial neural networks, genetic algorithm, 6-DOF robot, energy consumption modeling
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