Papers
3
Total Citations
18
H-Index
2
About
Yuki Nagai’s research lies at the intersection of robotics, human–machine interaction, and intelligent vision systems, with a particular focus on enhancing robotic safety, precision, and autonomy. Nagai’s most cited work, “Evaluation of a Fuzzy-Based Robotic Vision System for Recognizing Micro-roughness on Arbitrary Surfaces: A Comparison Study for Vibration Reduction of Robot Arm” (2022, 9 citations), introduces a novel fuzzy-logic approach to surface recognition that enables robots to adaptively reduce vibration during manipulation—a critical step toward more reliable industrial and assistive robotics. In a foundational earlier contribution, “Force analysis of exoskeletal robotic orthoses and its application to mechanical design” (2005, 7 citations), Nagai developed an analytical framework to assess whether exoskeletal orthoses can generate safe, effective assisting forces, directly informing safer mechanical designs for rehabilitation and human augmentation. More recently, “Design of an Intelligent Robotic Vision System for Optimization of Robot Arm Movement” (2022, 2 citations) extends this vision-based work toward real-time motion optimization. Together, Nagai’s publications demonstrate a sustained commitment to bridging perception, control, and safety in robotics—offering practical tools for engineers and researchers working on human-centered robotic systems.
Research Focus
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Top Papers
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