Shuming Yi

Huazhong University of Science and Technology, KTH Royal Institute of Technology

Papers

Total Citations

H-Index

About

Shuming Yi is a leading researcher at the forefront of human-centric smart manufacturing, with a focus on advancing human-robot collaboration (HRC) within the Industry 5.0 framework. His work centers on creating safer, more intuitive, and efficient collaborative assembly systems by integrating vision-based sensing, digital twin technology, and robust human intention recognition. Yi’s major contributions include developing a novel vision-based HRC system for digital twins, which accurately captures 3D motion to enable flexible and safe human-robot teamwork in smart factories. He has also pioneered safety-aware, human-centric assembly methods that prioritize worker well-being while enhancing productivity. His research on data-efficient hand–eye calibration using next-best-view strategies further demonstrates his commitment to practical, scalable robotic solutions. With over 70 citations across his most-cited works, Yi’s impact is evident in his ability to bridge theoretical advances with real-world manufacturing applications. His notable achievements include shaping the transition from Industry 4.0 to Industry 5.0 by emphasizing human-centricity, making his work essential reading for researchers and engineers seeking to design collaborative, adaptive, and safe industrial environments.