Xian Wang is a PhD candidate in Control Science and Engineering at Zhejiang University with nine years of technical experience and a bachelor’s degree in Aircraft Design and Engineering from the same institution. His research blends optimal control theory and end-to-end reinforcement learning to create time-optimal neural controllers for aggressive quadrotor flight and multi-agent coordination. He explores multi-modal control and the integration of large language models into motion planning, aiming to bridge theoretical guarantees with data-driven adaptability. Based in Hangzhou, he brings aerospace design intuition to robotic flight control, enabling physically informed learning architectures. Xian is focused on translating control-theoretic insights into practical, deployable policies for high-speed UAV maneuvers and cooperative behaviors.
9 years of coding experience
Doctor of Philosophy - PhD, Control Science and Engineering, Doctor of Philosophy - PhD, Control Science and Engineering at 浙江大学
Bachelor's degree, Aircraft Design and Engineering, Bachelor's degree, Aircraft Design and Engineering at Zhejiang University
Contributions:16 commits, 3 PRs, 15 pushes in 6 months
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