Papers

1

Total Citations

5

H-Index

1

About

Byung Woo Kim is a researcher at the forefront of sustainable manufacturing and smart factory technologies, with a particular focus on energy harvesting and robotic automation. His most notable contribution, detailed in his highly cited 2022 paper "Pulsed direct current magnetic energy harvesting by robotic spot-welding in smart automotive factory," addresses a critical challenge in modern industry: capturing waste energy from manufacturing processes. Kim’s work demonstrates how pulsed magnetic fields generated during robotic spot-welding can be harvested to power sensors and low-energy devices, reducing reliance on batteries and enhancing factory efficiency. This innovation has earned him 5 citations to date, signaling growing interest from peers in energy systems and industrial engineering. By integrating energy harvesting directly into robotic workflows, Kim’s research paves the way for more self-sustaining, intelligent factories—a key step toward Industry 4.0. His work stands out for its practical, application-driven approach, offering a tangible solution to energy waste in high-demand manufacturing environments. For students and researchers exploring the intersection of robotics, energy, and smart systems, Kim’s contributions provide a compelling blueprint for future innovation.

Research Focus

Key Achievements

1
H-Index
1
Papers
5
Total Citations
5
Avg Citations/Paper
🏆 Most Cited Paper
Pulsed direct current magnetic energy harvesting by robotic spot-welding in smart automotive factory
5 citations · 2022
📈 Most Prolific Year: 2022 (1 Papers)
🤝 Key Collaborators: 9
🏛 Institutions: Korea Advanced Institute of Science and Technology

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago