Rate My Professor Yue Wang

Wang's research lies at the intersection of systems and controls, formal methods, and machine learning, with a focus on human-robot interaction, autonomous systems, and multi-robot systems. Her contributions include trust-based control for human-robot collaboration systems, collaborative robotics for manufacturing, multi-robot symbolic motion planning with a human-in-the-loop, and human-aware control and learning for autonomous driving. She has authored over 100 journal articles, peer-reviewed conference papers, and book chapters, accumulating more than 3,000 citations. Selected publications include "Mutual Trust-Based Subtask Allocation for Human-Robot Collaboration in Flexible Lightweight Assembly in Manufacturing" (Mechatronics, 2018), "Cooperative Adaptive Cruise Control (CACC) for String Stable Mixed Traffic: Benchmark and Human-Centered Design" (IEEE Transactions on Intelligent Transportation Systems, 2017), and "A Review of Communication, Driver Characteristics and Controls Aspects of Cooperative Adaptive Cruise Control (CACC)" (IEEE Transactions on Intelligent Transportation Systems, 2015). Her work is supported by grants from NSF, AFOSR, AFRL, ARO, NASA EPSCoR, and Clemson University. Notable awards encompass the NSF CAREER Award (2015), AFOSR Young Investigator Program Award (2016), Air Force Summer Faculty Fellowships (2015 and 2016), and the Clemson University Mechanical Engineering Eastman Chemical Award for Excellence (2015). Wang is an ASME Fellow and IEEE Senior Member. She chairs the IEEE Control Systems Society Technical Committee on Manufacturing Automation and Robotic Control and serves as an associate editor for multiple IEEE and ASME journals.