Yunfeng Gao
Papers
8
Total Citations
84
H-Index
6
About
Yunfeng Gao is a robotics researcher whose work spans hybrid robot manipulators, robot vision, and autonomous mobile systems. His most significant contributions center on the design and analysis of novel 5-degree-of-freedom hybrid robot manipulators, combining the structural advantages of both serial and parallel mechanisms. His 2016 paper on the kinematics, dynamics, and control of such a manipulator has garnered 26 citations, establishing him as a meaningful contributor to hybrid robotics design methodology. Complementing this, his work on trajectory planning and dynamic load-carrying capacity optimization introduced a multiobjective approach that advances practical robot deployment. Beyond manipulator research, Gao has made notable contributions to robot perception and spatial intelligence. His 6D-ICP framework for 3D reconstruction of non-cooperative space targets demonstrates versatility across terrestrial and orbital robotics contexts. He has further explored mobile robot localization through monocular PTZ cameras, hierarchical 3D point cloud map relocalization, and RGB-D-based indoor object modeling — collectively addressing the challenge of robust robot navigation in real-world environments. His 2021 work on motion optimization for highly redundant humanoid robots reflects an evolving research trajectory toward more sophisticated autonomous systems. With a growing citation record across multiple robotics subfields, Gao represents a productive voice in applied robotics research.
Research Focus
Key Achievements
Top Papers
- 1
- 2Kinematics Analysis of a Novel 5-DOF Hybrid Manipulator16 citations · 2015
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- 7Motion optimization of humanoid mobile robot with high redundancy6 citations · 2021
- 8Indoor objects 3D modeling based on RGB-D camera for robot vision2 citations · 2015