Papers
14
Total Citations
233
H-Index
7
About
Nanyan Shen is a leading researcher in robotics, specializing in the precision and stability of robotic manufacturing systems. His work addresses critical challenges in industrial automation, particularly for milling, drilling, and hybrid robot applications. Shen’s most influential contribution is his 2016 study on the effect of cutter path and workpiece clamping on robotic milling stability (74 citations), which provides foundational insights for improving process reliability. He further advanced robotic drilling accuracy with a practical method for enhancing hole position precision (42 citations, 2018). Shen has also made significant theoretical contributions, including a novel inverse kinematics method for 6-DOF robots with non-spherical wrists (38 citations, 2020) and the dimensional synthesis of a 5-DOF hybrid robot (31 citations, 2020). His recent work on efficient model-free calibration for hybrid robots (2022) offers a streamlined approach to improving pose accuracy without complex error modeling. Additionally, Shen explores human-robot collaboration, developing an action fusion recognition model using GAT-GRU networks for assembly tasks (2022). With over 260 total citations, his research continues to shape the future of robotic precision, automation, and collaborative manufacturing.
Research Focus
Key Achievements
Top Papers
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- 3A novel inverse kinematics method for 6-DOF robots with non-spherical wrist38 citations · 2020
- 4Dimensional synthesis of a 5-DOF hybrid robot31 citations · 2020
- 5Efficient Model-Free Calibration of a 5-Degree of Freedom Hybrid Robot10 citations · 2022
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- 8Dynamic Modeling and Simulation of a Hybrid Robot6 citations · 2022
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