All Events

23 Nov 2025

Congratulations to MAgIC Lab for the paper accepted by the T-Mech paper.

The paper entitled 'High Precision Control for Off-axis In-situ Rotation of Nanorobot inside SEM' has been accepted for publication in IEEE Transactions on Mechatronics. This paper presents a high-precision control scheme tailored for the off-axis in-situ rotation of nanorobots within a Scanning Electron Microscope (SEM), addressing the core challenges of confined workspace, limited field of view (FOV), restricted depth of field (DoF), and severe positional shifts induced by rotation axis misalignment in nanoscale manipulation tasks.

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.

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.

10 Oct 2025

Congratulations! Xiaozhu Lin and Hongru Dai Claim 2025 Postgraduate National Scholarship of School of Information Science and Technology!

Congratulations to Xiaozhu Lin and Hongru Dai from MAgIC Lab! They claimed the prestigious 2025 Postgraduate National Scholarship—Xiaozhu Lin the Doctoral National Scholarship, Hongru Dai the National Scholarship. Their academic excellence and relentless pursuit of rigor inspire peers!

15 Aug 2025

Professor Wang Delivered Report on Intelligent Bionic Robots in Hohhot.

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

Congratulations to MAgIC Lab for the paper accepted by the EUSIPCO 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

Congratulations to MAgIC Lab graduate student Binglin He on his graduation.

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

Congratulations to MAgIC Lab for the paper accepted by the 2025 IEEE International Conference on Robotics & Automation (ICRA).

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.

17 Jan 2025

Congratulations to MAgIC Lab for two papers accepted by ACC 2025.

The papers entitled 'A Model-Free Active Noise Control for Periodic Disturbances: with Guaranteed Stability and Robustness' and 'A Novel Plug-and-Play Cooperative Disturbance Compensator for Heterogeneous Uncertain Linear Multi-Agent Systems', have been accepted and will be presented on ACC 2025 conference held in Denver, Colorado, America.

28 Dec 2024

Congratulations to MAgIC Lab for the paper accepted by IEEE RA-L.

The paper entitled 'Learning Agile Swimming: An End-to-End Approach without CPGs' has been accepted for publication in the IEEE Robotics and Automation Letters (RA-L).

16 Dec 2024

Presentation in the 2024 IEEE 63rd Conference on Decision and Control (CDC).

The CDC 2024 conference took place from December 16 to 19 at the Allianz MiCo, Milan Convention Centre, Italy. We had the privilege of delivering oral presentations on our accepted works.

13 Dec 2024

Congratulations to our brilliant labmates on their well-deserved honors!

We are delighted to hear that Xiaozhu Lin has been awarded the 'Merit Student' title and Binglin He has received the 'Outstanding Student' recognition.

5 Dec 2024

Congratulations to MAgIC Lab for the paper accepted by IEEE L-CSS.

The paper entitled 'A Novel Plug-and-Play Cooperative Disturbance Compensator for Heterogeneous Uncertain Linear Multi-Agent Systems' has been accepted by IEEE Control Systems Letters.

11 Nov 2024

Congratulations to MAgIC Lab PhD Student Yizhou Gong on Receiving the 2024 National Scholarship!

We are thrilled to announce that first-year PhD student Yizhou Gong from our lab has been awarded the 2024 National Scholarship for Graduate Students. This prestigious award highlights Yizhou's outstanding academic achievements and potential. Congratulations, Yizhou—we look forward to seeing all that the future holds for you!

14 Oct 2024

Successful participation in the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) 2024.

The IROS 2024 conference was held from October 14 to 18 at the Abu Dhabi National Exhibition Centre, UAE. We delivered presentations on accepted works“Dynamic Modeling of Robotic Fish considering Background Flow using Koopman Operators” and “Data-Driven Modeling of Ground Effect for UAV Landing on a Vertical Oscillating Platform” , accompanied by interactive poster sessions. Both works drew significant interest and sparked discussions among attendees from around the world. The event provided valuable opportunities for engaging with peers and professors from top institutions like MIT and ETH, who showed strong interest in the research and educational philosophy. We also initiated discussions on future collaborations. Attending talks on various robotics topics, including drone racing, bio-inspired robots, and flexible surgical robots, added to the enriching experience.

24 July 2024

Congratulations to MAgIC Lab for two papers accepted by CDC 2024.

The papers entitled 'Parameter Identification in Linear Error Equations: Guaranteeing Output Error Boundedness' and 'A Novel Parameter-dependent Input Normalization-based Direct MRAC with Unknown Control Direction', have been accepted and will be presented on CDC 2024 conference held in MiCo, Milan, Italy.

21 July 2024

Professor Zhengxing Wu Visits MAgIC Lab.

Professor Zhengxing Wu, a researcher of the Institute of Automation of the Chinese Academy of Sciences, recently participated in the ASSIST2024 hosted by ShanghaiTech University, and delivered a speech on the title of 'Intelligent Bio-inspired Underwater Autonomous Vehicle Systems'. After that, he visited the MagIC Lab and had interesting discussions with the students here.

7 July 2024

Congratulations to MAgIC Lab undergraduate student Kaitian Chao on his graduation

Kaitian Chao joined the MAgIC lab in 2023 and conducted research in Robotic Fish under the supervision of Prof. Yang Wang. He graduated in July 2024 with the title of Outstanding Student of Shanghai. Kaitian will go to University of Pennsylvania to continue his research on robotics and artificial intelligence.

5 July 2024

Congratulations to MAgIC Lab undergraduate student Kaitian Chao on his Best Thesis Award

Kaitian Chao's undergraduate thesis paper: An Adversarial Meta Learning-based Dynamic Modeling For Robotic Fish, supervised by Prof. Yang Wang, won the Best Thesis Award among all the 2024 SIST undergraduate theses. Kaitian and Professor Wang were awarded by the Dean Jingyi Yu.

30 June 2024

Congratulations to MAgIC Lab for two papers accepted by IROS 2024.

The papers entitled 'Dynamic Modelling of Robotic Fish with Consideration to Background Flow Using Koopman Theory' and 'Data-Driven Modeling of Ground Effect For UAV Landing on a Vertical Oscillating Platform', have been accepted and will be presented on IROS 2024 conference held in Abu Dhabi.

23 May 2024

Third PhD student of MAgIC Lab!!

After review by the Graduate School and approval by the school's admissions leadership team, Gong will be admitted as a PhD student by Prof. Yang Wang. In the next few years, he will study academic research related to advanced control theory and its application.

20 May 2024

Congratulations to MAgIC Lab master student Jiangkun Xu on his graduation.

Jiangkun Xu joined the MAgIC lab in 2021 and conducted research in Output Regulation Problem under the supervision of Prof. Yang Wang. He graduated in June 2024. Jiangkun Xu will work as a Decision Planning Algorithm Engineer in Hangzhou Hikvision Digital Technology Co., Ltd.

2 Apr 2024

Congratulations to MAgIC Lab for two papers accepted to SCL and EJC, respectively.

The papers entitled 'Robust output regulation for uncertain nonlinear minimum phase systems under unknown control direction' and 'Robust output regulation of a class of uncertain nonlinear minimum phase systems perturbed by unknown external disturbances' have been accepted to Systems & Control Letters and European Journal of Control. The former focuses on disturbance rejection for systems with unknown control direction, while the latter achieves exact reconstruction of unstructured disturbances and closed-loop stabilization. The proposed methods have potentials in controlling uncertain systems in a perturbed environment, such as active noise cancellation, and AC motor control. Anyone is welcome to discuss with us!

14 Feb 2024

Congratulations to MAgIC Lab for One paper accepted by IET Control Theory & Applications.

The papers entitled 'Adaptive neural network control of robotic manipulators with input constraints and without velocity measurements', has been accepted by IET Control Theory & Applications. This paper addresses the trajectory tracking problem for a class of uncertain manipulator systems under the effect of external disturbances. Rigorous proof and experiments conducted on a rela manipulators are provided in the paper.

23 Oct 2023

Director of HKUST Cheng Kar-Shun Robotics Institute Visits MAgIC Lab.

Professor Fumin Zhang, the director at HKUST Cheng Kar-Shun Robotics Institute, recently dropped by ShanghaiTech University, sparking some serious excitement in the world of robots. During his visit, Professor Zhang had some cool chats with crew at MAgIC Lab, where we geeked out over robots, AI, and all things tech. Having Professor Zhang here is an honor. We can't wait to dive into some epic collabrations. This visit solidifies MAgIC Lab reputation as the place where the robot magic happens, and it's all about making discoveries that'll rock the research world and make life better for everyone.

3 Oct 2023

Congratulations to MAgIC Lab for one paper accepted on CAC2023.

The paper entitled 'Adaptive Output Regulation for Uncertain Nonlinear Systems: an Additive Decomposition-based Method', has been accepted and will be presented on CAC2023 conference held in Chongqing.

12 July 2023

Congratulations to MAgIC Lab for one paper accepted on CDC2023.

The paper entitled 'Iterative Learning Embedded Model Reference Adaptive Control for Perturbed Nonlinear MIMO Systems', has been accepted and will be presented on CDC2023 conference held in Singapore.

8 July 2023

Successful participation in the International Federation of Automatic Control World Congress (IFAC) 2023.

Attending the IFAC conference and delivering a presentation on stage was an incredibly enriching experience for us. The opportunity to connect with experts from different parts of the world and share the knowledge was truly invaluable. The IFAC conference provided a platform for us to showcase our research and work to a global audience. The feedback and discussions we received from fellow participants allowed us to refine our ideas and explore new perspectives. We are grateful for the opportunity and look forward to applying the insights gained to further contribute to the advancement of our field.

24 June 2023

Congratulations to MAgIC lab undergraduate student Guanqi He on his graduation!

Guanqi He joined the MAgIC lab in 2021 and conducted research in output regulation under the supervision of Prof. Yang Wang. He graduated in June 2023 with the title of Outstanding Undergraduate Student of University of ShanghaiTech. Guanqi will go to Carnegie Mellon University to continue his research on control and robotics.

22 June 2023

Congratulations to MAgIC Lab for one paper accepted on IROS2023.

The papers entitled 'Exploring Learning-based Control Policy for Fish-like Robots in Altered Background Flows', have been accepted and will be presented on IROS2023 conference held in Detroit.

20 June 2023

Second PhD student of MAgIC Lab !!!

After review by the Graduate School and approval by the school's admissions leadership team, Lin will be admitted as a PhD student by Prof. Yang Wang. In the next few years, he will study academic research related to Fish-like Robots, Flow Control, Data-driven Control.

18 June 2023

Congratulations to MAgIC lab undergraduate student Qinxiao Ma for being awarded as an outstanding graduate.

Qinxiao Ma joined the MAgIC lab in 2022 and conducted research in MRAC and Flapping-wing aircraft under the supervision of Prof. Yang Wang. He graduated in June 2023 with the title of Outstanding Undergraduate Student of University of ShanghaiTech. Qinxiao Ma will continue his research on flapping-wing aircraft control and other robotics projects in Prof. Yang Wang's research groop.

18 June 2023

Congratulations to MAgIC lab graduate student Yuqi Pan on his graduation.

Yuqi Pan joined the MAgIC lab in 2020 and conducted research in formation control under the supervision of Prof. Yang Wang. He graduated in June 2023. Yuqi Pan will work as a R&D engineer in Shanghai Zhierxing Technology Co., Ltd.

31 May 2023

Congratulations to Binglin He for ACC 2023 paper acceptance.

The papers entitled 'Decentralized Formation Control With Prescribed Distance Constraints and Shape Uniqueness' was accepted and presented on this year's ACC conference held in San Diego, CA, USA. Our research focuses on the formation problem in Multi-Agent Systems (MAS), where we proposed a novel distributed control protocol that ensures the uniqueness of the formation and limits the distance between neighboring agents within a predetermined range. The proposed control law is decentralized, meaning each agent only utilizes local information related to its neighboring agents to calculate its control input. At the conference, Binglin He gave a presentation and participated in the poster presentation session.

4 Mar 2023

Congratulations to MAgIC Lab for three papers accepted on IFAC WC2023.

The papers entitled 'Robust Output Regulation for Uncertain Linear Minimum Phase Systems under Unknown Control Direction', 'Iteration Learning Control for Uncertain Nonlinear Systems with Time Varying Output Constraint' and 'Robust Output Regulation for Uncertain Discrete-Time LTI Systems under the Effect of a Sinusoidal Disturbance' have been accepted and will be presented on IFAC WC2023 conference held in Yokohama.

20 Jan 2023

Congratulations to MAgIC Lab for paper accepted on ACC 2023.

The paper entitled 'Decentralized Formation Control With Prescribed Distance Constraints and Shape Uniqueness' has been accepted and will be presented on ACC 2023 conference held in San Diego, California, USA.

6 Dec 2022

Congratulations to MAgIC Lab for two paper acceptances on CDC2022.

The paper entitled 'Unknown Input Observer-based Output Regulation for Uncertain Minimum Phase Linear Systems Affected by a Periodic Disturbance' and 'Parameter-dependent Input Normalization: Direct-Adaptive control with Uncertain Control Direction' was accepted and presented on this year's CDC conference held in Cancun. The first work proposes on a new framework that combines an internal mode-based output regulator and a sliding-mode based observer to solve the disturbance rejection problem for a highly uncertain system. The later one removes the critical assumption on high frequency gain in the classic MRAC while preserves a good transient performance. Both results received attention and discussion from attendee.

25 Nov 2022

Congratulations to Yizhou Gong and Binglin He for CAC 2022 paper acceptance.

'Unknown Input Observer-based Finite-time Frequency Estimator for a Biased Multi-sinusoidal Signal' and 'Modular Design of Combined Integrating Controller Based on OPTO22' written by Yizhou Gong and Binglin He were, respectively, accepted by CAC 2022. They attended the meeting successfully, together with their posters put up at presence.

8 June 2022

Congratulations to Guanqi He for ACC 2022 paper acceptance.

'Switching-based Adaptive Output Regulation for Uncertain Systems Affected by a Periodic Disturbance' written by Guanqi He is accepted by ACC 2022.

11 May 2022

First PhD student of MAgIC Lab!!!

Heng Zhang will be admitted as a PhD student of Professor Wang Yang after the review of the Graduate School and the approval and publicity of the school's enrollment leading group. He will study the academic research related to data-driven control, iterative learning control and UAV in the following years.

14 May 2021

Congratulations to Heng Zhang for IEEE DDCLS 2021 paper acceptance.

'Adaptive neural network control of an uncertain robotic manipulator with input constraint and external disturbance' written by Heng Zhang is accepted by DDCLS'2021. He made an oral report in Suzhou. Prof. Yang Wang and Heng Zhang attended the meeting together.