Tuo Yang
Papers
2
Total Citations
14
H-Index
2
About
Tuo Yang’s research lies at the intersection of robotics, nonlinear control, and multi-agent systems, with a particular focus on the distributed coordination of networked manipulators. In his most cited work, “Distributed Coordination of Networked Manipulators: A Two-Layer Control Scheme” (2023, 11 citations), Yang addresses a fundamental challenge in cooperative robotics: enabling a team of manipulators to transport an unknown object along a prescribed trajectory when only a subset of robots know the full path. He proposes a novel two-layer control architecture that decouples the coordination problem, ensuring stability and precision without requiring global information. This contribution is significant for applications in manufacturing, logistics, and hazardous environment operations. Earlier, Yang contributed to mechanism analysis with “Forward position analysis of the Tricept robot based on Single-Opened-Chain” (2008, 3 citations), where he derived minimal-dimension position equations for the Tricept parallel robot, yielding eight real forward solutions. While his citation counts reflect a developing career, Yang’s work demonstrates a clear trajectory toward solving real-world coordination problems in robotics, making him a promising voice in distributed control and robotic manipulation.
Research Focus
Key Achievements
Top Papers
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