Yinsong Ma
Papers
2
Total Citations
8
H-Index
2
About
Yinsong Ma is a researcher advancing the frontiers of human–robot collaboration and adaptive control for flexible robotic systems. Ma’s work tackles two critical challenges in modern robotics: enabling safe, intuitive cooperation between humans and machines, and achieving precise control under uncertainty and physical constraints. In their highly cited 2021 study on co-carrying tasks, Ma developed a novel framework integrating visual and force sensing to allow robots to autonomously coordinate with human partners in shared workspaces—a foundational contribution to collaborative manufacturing and assistive robotics. This work has garnered 5 citations, reflecting its relevance to the growing field of human–robot interaction. Ma also made significant strides in control theory with their 2020 paper on adaptive fixed-time control for two-link flexible robots. By designing neural network-based controllers that handle system uncertainty, output constraints, and input saturation simultaneously, Ma provided a robust solution for trajectory tracking and vibration suppression—a key enabler for lightweight, flexible manipulators. With 3 citations, this work demonstrates Ma’s ability to address complex, real-world control problems. Together, these contributions position Yinsong Ma as a promising voice in robotics, bridging perception, control, and human-centered design.
Research Focus
Key Achievements
Top Papers
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