Rate My Professor Ying Wang

Ying Wang is a Professor of Mechatronics Engineering and Assistant Chair of the Department of Robotics and Mechatronics Engineering at Kennesaw State University. She earned her Ph.D. in Mechanical Engineering from the University of British Columbia, Canada, in 2008, Master of Science in Power Machinery Engineering from Shanghai Jiao Tong University, China, in 1999, and Bachelor of Science in Power Machinery Engineering from Shanghai Jiao Tong University in 1991. An IEEE Senior Member, Professor Wang's research centers on visual servoing and advanced controls, autonomous robots, machine learning and AI, computer vision, vision-based autonomous robotic grasping and classification, visual servoing control, and mobile manipulation systems in unstructured environments. Her planned project involves developing a vision-based autonomous robotic grasping and classification system with applications in industrial, medical, military, and civil domains.

Professor Wang has authored numerous publications in top-tier journals, including IEEE Access, Robotics and Autonomous Systems, IEEE Transactions on Aerospace and Electronic Systems, Intelligent Service Robotics, Journal of Mechatronic Systems and Control, International Journal of Robotics and Automation, Journal of Robotics and Autonomous Systems, International Journal of Control and Intelligent Systems, and IEEE/ASME Transactions on Mechatronics. Selected key works include "ZAS-F: A zero-shot abstract sub-goal framework empowers robots for long horizontal inventory tasks" (IEEE Access, 2025), "Informed sampling space driven robot informative path planning" (Robotics and Autonomous Systems, 2024), "Multi-task allocation framework with spatial dislocation collision avoidance for multiple aerial robots" (IEEE Transactions on Aerospace and Electronic Systems, 2022), "A hybrid visual servo controller for robust grasping by wheeled mobile robots" (2009, 188 citations), "Multi-robot box-pushing: Single-agent q-learning vs. team q-learning" (2006, 120 citations), "A machine-learning approach to multi-robot coordination" (2008, 107 citations), and "A Modified image-based visual servo controller with hybrid camera configuration for robust robotic grasping" (Journal of Robotics and Autonomous Systems, 2014, 56 citations). She teaches graduate and undergraduate courses such as MTRE 6400: Perception, Navigation, and Path Planning of Mobile Robots, MTRE 6200: Grasping and Motion Control of Autonomous Robotic Arms, MTRE 4820/4820L: Machine Learning for Robot Perception, MTRE 3610/3610L: Modeling and Feedback Control of Dynamic Systems, MTRE 4810/4810L: Robotics, MTRE 4610: Advanced Control, EE4201: Control Systems, MTRE 3710: Mechatronics Engineering Fundamentals, EE 2302: Circuit Analysis II, ENGR 2214: Statics, and ENGR 2500: Strength of Materials.