Yugen You
Papers
6
Total Citations
474
H-Index
5
About
Yugen You is a leading researcher in constrained multi-objective optimization and intelligent robotic systems. Their most impactful contribution is the development of an improved epsilon constraint-handling method integrated with MOEA/D, specifically designed to solve constrained multi-objective optimization problems (CMOPs) with large infeasible regions. This work, published in 2019, has garnered 415 citations, underscoring its significance in evolutionary computation. You’s research spans both theoretical algorithm design and practical applications, including the multi-objective optimization of teaching manipulators and the development of collaborative robot transport systems based on edge computing. Notably, You has also advanced surgical robotics through the creation of an intra-operative active navigation system using optical tracking, enhancing precision in robot-assisted surgery. Their work on collective tracking in confined environments further demonstrates versatility in addressing real-world challenges. With a portfolio that bridges optimization theory and robotics engineering, You’s contributions have shaped modern approaches to handling complex, constrained problems and autonomous systems.
Research Focus
Key Achievements
Top Papers
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- 4Analysis and multi-objective optimization of a kind of teaching manipulator10 citations · 2019
- 5Collaborative Robot Transport System Based on Edge Computing9 citations · 2019
- 6TH-GRN Model Based Collective Tracking in Confined Environment4 citations · 2019