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.
15 Aug 2025
Professor Wang delivered a report on intelligent bionic robots in Hohhot, offering insights into the technology's design principles and real-world application potentials.
20 May 2025
The paper entitled 'A Novel Hybrid Active Noise Control System for Composite Disturbance Signal' has been accepted for publication in The 33rd European Signal Processing Conference (EUSIPCO 2025). This paper presents a novel hybrid active noise control (ANC) system designed to effectively mitigate a certain class of composite noise, characterized by the superposition of broadband white noise and periodic signals at certain distinct frequencies with relatively high amplitudes.
14 May 2025
Binglin He joined the MAgIC Lab in 2022 and pursued his master's research under the supervision of Prof. Yang Wang. He successfully completed his master's thesis defense. The defense committee comprised Prof. Weibang Bai and Prof. Jiahao Chen from our university, as well as Prof. Fanglai Zhu from Tongji University. After graduation, Binglin will join Espressif Technology as an engineer to further develop his career in the field.
28 Jan 2025
The paper entitled 'Ambient Flow Perception of Freely Swimming Robotic Fish using an Artificial Lateral Line System' has been accepted for publication in the IEEE International Conference on Robotics & Automation (ICRA). This study presents an innovative flow perception framework for robotic fish inspired by the biological lateral line system, enabling autonomous flow classification during swimming through a machine learning approach.