Kanghui He (何康辉)

picture of Kanghui 

Kanghui He [Google Scholar]
Delft Center for Systems and Control
Mechanical, Maritime and Materials Engineering
Delft University of Technology (Tu/Delft)
Email: K.He@tudelft.nl

About Me

I am a PhD candidate under the supervision of Prof. Bart De Schutter, Prof. Ton van den Boom, and Dr. Shengling Shi at the Delft Center for Systems and Control, Delft University of Technology, the Netherlands. I received the B.S. degree in the School of Mechanical Engineering and Automation, Beihang University (BUAA), in 2018, and the M.S. degree (with outstanding graduation thesis and Chinese national scholarship) in the Department of Dynamics and Control, Beihang University, in 2021. I was a research assistant in the group of Dr. Zhang Chen, in the Department of Automation, Tsinghua University, China, in 2021.

My PhD research topic is about learning-based control under constraints. I am in the ERC advanced project “A novel control paradigm for large-scale hybrid networks” (CLariNet).

Research Interests

My main interests involve developing learning-based control methods with safety guarantees and computational efficiency, and their applications in mobile robots. I use tools from control theory (model predictive control, control barrier functions), optimization (mixed-integer programming, parametric programming, stochastic programming), and machine learning (reinforcement learning, Gaussian process).

Recent News

  • Feb. 2025 I will go to KU Leuven for a short research visit, where I will address safety reinforcement learning with probabilistic guarantees with Prof. Johan Suykens.

  • Dec. 2024 I present at IEEE CDC 2024 on our paper “Efficient and safe learning-based control of piecewise affine systems using optimization-free safety filters”.

  • Oct 2024 My recent work “Approximate dynamic programming for constrained piecewise affine systems with stability and safety guarantees” was accepted by IEEE Transactions on Systems, Man, and Cybernetics: Systems.

  • Nov. 2023 I propose a master project on safe reinforcement learning for autonomous driving. Please contact me if you are searching for a master project.

  • Oct. 2023 My recent work “Approximate dynamic programming for constrained linear systems: a piecewise quadratic approximation approach” was accepted by Automatica

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