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

9
H-Index
12
Papers
365
Total Citations
30
Avg Citations/Paper
🏆 Most Cited Paper
Neural-Dynamic Optimization-Based Model Predictive Control for Tracking and Formation of Nonholonomic Multirobot Systems
92 citations · 2018
📈 Most Prolific Year: 2018 (3 Papers)
🤝 Key Collaborators: 22
🏛 Institutions: South China University of Technology, Taizhou University, Guangdong University of Technology, University of Science and Technology of China

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago