Nan Wang received his B.S. Degree in Automation Science and Engineering from the East China University of Science and Technology, China, in 2015. He received his M.S. Degree in Control Theory and Engineering from the Tongji University, China, in 2018. Nan is currently a Ph.D student in Computer Engineering at the University of California, Santa Cruz. He is a part of the Hybrid Systems Laboratory. His primary research interests include: motion planning for hybrid systems and decision making for autonomous systems.
Nan Wang, Mengxuan Song, Jun Wang, Timothy Gordon, A Flow-Field Guided Method of Path Planning for Unmanned Ground Vehicles, 56th IEEE Conference on Decision and Control (CDC 2017).
Mengxuan Song, Nan Wang, Jun Wang, Timothy Gordon, A fluid dynamics approach to motion control for rigid autonomous ground vehicles, 25th In-ternational Symposium on Dynamics of Vehicles on Roads and Tracks (IAVSD 2017).
Mengxuan Song, Nan Wang, Jun Wang, Flow-field Guided Steering Control for Rigid Autonomous Ground Vehicles in Low-speed Manoeuvring, Vehicle System Dynamics Special Journal Issue: Motion Control for Automated Driving and Autonomous Functions.