ShanghaiTech University / School of Information Science and Technology / STAR Center / Model-free Autonomous Agent and Intelligent Control Lab

About Us

Welcome to the Model-free Autonomous Agent and Intelligent Control (MAgIC) Lab at ShanghaiTech University. Our research spans the development of bio-inspired underwater and aerial robots—such as robotic fish and flapping-wing vehicles—with a focus on perception, planning, control, and multi-agent coordination. Currently, the core of our work lies at advanced motion control for robotic systems operating in dynamic fluid environments.

Underlying these applications is our fundamental research into the modeling and control of complex, nonlinear, time-varying systems across multiple scales. We develop adaptive, data-driven, and learning-based control theories with provable guarantees, tackling challenges such as uncertainty, disturbance, and system constraints.

Led by Prof. Yang Wang, our team consists of passionate PhD and master students dedicated to pushing the boundaries of fluidic-interactive robotic systems and intelligent control theory. We welcome collaborations and discussions with researchers who share our interests.

News

Outstanding Students honor

02 Dec 2025

Congratulations to MAgIC Lab Graduate Students Qinxiao Ma and Chenyang Ji on their "Outstanding Students" honor!

The 2025 Graduate Outstanding Student selection results of the School of Information have recently been announced. Qinxiao Ma and Chenyang Ji, graduate students from MAgIC Lab, have been awarded the title of "Outstanding Students" for their excellent academic performance, remarkable research achievements, and active contributions to academic activities. This recognition not only affirms the two students' comprehensive capabilities but also reflects MAgIC Lab's achievements in talent cultivation and academic practice.

Honorable Mention

25 Nov 2025

Congratulations for the paper received an Honorable Mention in this year's Technical Papers program of SIGGRAPH Asia 2025!

We are thrilled to share that a joint research paper, 'A Highly-Efficient Hybrid Simulation System for Flight Controller Design and Evaluation of Unmanned Aerial Vehicles', has been selected by the Best Paper Award Committee to receive an Honorable Mention in the Technical Papers program at SIGGRAPH Asia 2025 — one of the world's premier conferences for computer graphics and interactive technologies. The paper is led by Jiwei Wang, a member of Flare Lab, and co-developed in collaboration with MAgIC Lab. This recognition highlights the work's innovative contributions to drone flight controller development.

The Young Author Award

19 Nov 2025

Congratulations! Yizhou Gong has won the Young Author Award at the 16th IFAC Symposium on Human-Machine Systems (HMS 2025) in Beijing!

Congratulations to Yizhou Gong from MAgIC Lab! He has been awarded the Young Author Award at the 16th IFAC Symposium on Human-Machine Systems (HMS 2025) held in Beijing. This reward highlighted his work's originality and the School's excellence in control and robotics.

The 16th IFAC Symposium on Human-Machine Systems

19 Nov 2025

Successful participation at the 16th IFAC Symposium on Human-Machine Systems (HMS 2025) in Beijing.

Yizhou Gong successfully attended the conference, delivered a well-received presentation under the guidance of Prof. Wang, and gained strong recognition from peers. His research on nonlinear disturbance observer-based motor control addresses long-standing challenges of load torque and inverter dead-time effects, achieving enhanced robustness and stability. This breakthrough contributes to progress in human-machine collaboration, robotics, and intelligent systems.

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