Papers

4

Total Citations

24

H-Index

3

About

Dr. Kuo-Kuang Jen is a pioneering researcher at the intersection of robotics, human-robot interaction, and advanced manufacturing. His work focuses on enabling safer, more intuitive collaboration between humans and machines, particularly through the development of intelligent sensing systems and robotic fabrication techniques. Dr. Jen’s most impactful contribution is his 2023 study on human posture transition-time detection, which uses inertial measurement units and long short-term memory neural networks to identify subtle shifts between movements—a critical, often overlooked aspect of human-robot safety. This work has garnered 12 citations, highlighting its growing influence in industrial and clinical robotics. He has also advanced manufacturing by developing a robotic electrochemical mechanical polishing system for surface passivation of titanium-based materials, and contributed to autonomous systems through a contact-less power charger for robots. Additionally, his 2021 research on realizing natural human motion on a 3D biped robot provides foundational insights for exoskeleton design. Dr. Jen’s diverse portfolio—from neural network-driven posture analysis to robotic polishing—demonstrates a commitment to bridging human needs with robotic precision, making him a key figure in creating more responsive, safe, and efficient robotic systems.

Research Focus

Key Achievements

3
H-Index
4
Papers
24
Total Citations
6
Avg Citations/Paper
🏆 Most Cited Paper
Human Posture Transition-Time Detection Based upon Inertial Measurement Unit and Long Short-Term Memory Neural Networks
12 citations · 2023
📈 Most Prolific Year: 2023 (1 Papers)
🤝 Key Collaborators: 27
🏛 Institutions: National Chung Shan Institute of Science and Technology

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago