Papers
13
Total Citations
119
H-Index
7
About
Chuqing Cao is a robotics researcher whose work spans hybrid robot manipulators, motion planning, and robot perception systems. A central pillar of Cao's research is the design and analysis of novel hybrid robotic systems that strategically combine the precision of parallel mechanisms with the flexibility of serial structures. His 2016 work on a 5-degree-of-freedom hybrid robot manipulator — exploring its kinematics, dynamics, and control architecture — has garnered 26 citations and remains among his most influential contributions, complemented by related studies on kinematics analysis and dynamic load-carrying capacity optimization. Cao has also made notable strides in control theory, applying tensor product model transformation to convert nonlinear flexible joint robot systems into tractable convex polytopic models, a methodologically significant contribution with 24 citations. His research extends into mobile robotics, addressing redundancy resolution for dual-arm systems and motion optimization for high-redundancy humanoid robots. Additionally, Cao has explored computer vision applications, including hand posture recognition and monocular PTZ camera-based target localization. More recently, his investigations have turned toward piezoelectric-actuated parallel robots and precision 3D measurement systems, demonstrating a continuously broadening and impactful research portfolio.
Research Focus
Key Achievements
Top Papers
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- 3Kinematics Analysis of a Novel 5-DOF Hybrid Manipulator16 citations · 2015
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- 8Motion optimization of humanoid mobile robot with high redundancy6 citations · 2021
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