Papers
6
Total Citations
72
H-Index
5
About
Yanbin Yao is a leading researcher in robotics, with a primary focus on hyper-redundant manipulators, industrial robot dynamics, and high-precision manufacturing automation. His work addresses critical challenges in aerospace, aviation, and nuclear power equipment, where robots must operate in complex, confined spaces. Yao’s most cited paper, “A Review on Kinematic, Workspace, Trajectory Planning and Path Planning of Hyper-Redundant Manipulators” (2020, 25 citations), provides a comprehensive synthesis of design and control methods for these highly flexible systems. He has made significant contributions to dynamic modeling, notably through his screw theory-based approach for 6-DOF robots (2022, 15 citations) and a graph theory method for parameter identification (2021, 7 citations), both aimed at improving absolute positioning accuracy for precision manufacturing. Yao also developed a noncontact laser measurement method for evaluating surface normal direction in digital drilling and riveting (2012, 14 citations), and designed a robot automatic drilling system for aircraft components (2014, 8 citations). His work on BP neural network-based compensation (2019) further advances industrial robot accuracy. With a strong record of translating theoretical models into practical systems, Yao’s research continues to shape the future of intelligent, high-precision robotic manufacturing.
Research Focus
Key Achievements
Top Papers
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- 4Design and Experiment of a Robot Automatic Drilling System8 citations · 2014
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