Papers
65
Total Citations
1,305
H-Index
18
About
Yen-Chen Liu is a prominent researcher whose work sits at the intersection of robotics, networked control systems, and multi-agent coordination. His contributions have fundamentally advanced how robotic systems communicate, cooperate, and adapt in complex, real-world environments. Liu's early landmark work on controlled synchronization of heterogeneous robotic manipulators in task space (2011, 206 citations) broke new ground by extending passivity-based control beyond kinematically identical systems, enabling practical coordination of diverse robots across networks. This was complemented by his foundational investigations into robotic synchronization over strongly connected graphs and communication delay compensation, establishing rigorous theoretical frameworks that the field continues to build upon. His research into teleoperation systems — including bilateral control under time delays and adaptive algorithms for uncertain kinematics and dynamics — has directly addressed practical barriers to deploying remote robotic systems in unstructured environments. More recently, Liu embraced deep reinforcement learning, applying DDPG-based adaptive robust control to aerial manipulators (2021, 108 citations), demonstrating his agility in integrating modern machine learning with classical control theory. Liu's work on distributed coordination of networked mobile manipulators and his comprehensive survey of containment control in multi-agent systems further underscore his broad influence, shaping both theoretical foundations and applied directions in cooperative robotics.
Research Focus
Key Achievements
Top Papers
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- 2Control of semi-autonomous teleoperation system with time delays121 citations · 2013
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- 7Synchronization of networked robotic systems on strongly connected graphs39 citations · 2010
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- 9Task-space coordination control of bilateral human–swarm systems31 citations · 2014
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