Papers
12
Total Citations
365
H-Index
9
About
Wang Yuan is a robotics and control systems researcher whose work spans intelligent robot navigation, human-robot interaction, and advanced control methodologies. His most significant contributions lie in developing sophisticated control frameworks for mobile robots and manipulators, particularly nonlinear model predictive control (NMPC) techniques for multi-robot formation and coordination. His 2018 paper on neural-dynamic optimization-based NMPC for nonholonomic multirobot systems has garnered 92 citations, establishing him as a notable voice in autonomous systems research. Wang's work demonstrates remarkable breadth: from RGB-D sensor-based visual SLAM for indoor navigation (2016) to pioneering brain-computer interface teleoperation of mobile robots, where he explored steady-state visually evoked potentials as control signals. His 2019 contribution on multisensor-based service robot navigation, with 73 citations, reflects his commitment to socially aware robotics that accounts for human presence and behavior. More recently, his research has advanced whole-body control of mobile manipulators using adaptive fuzzy techniques and differential flatness-based robust tracking for wheeled robots. Collectively, his publications—accumulating over 360 citations—paint the portrait of a researcher consistently bridging theoretical control design with practical robotic applications, making meaningful strides toward intelligent, human-centered autonomous systems.
Research Focus
Key Achievements
Top Papers
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- 2Multisensor-Based Navigation and Control of a Mobile Service Robot73 citations · 2019
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- 5Brain-Actuated Control of Dual-Arm Robot Manipulation With Relative Motion29 citations · 2017
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