Junan Lin

About Me

Hi! I am a master student in Robotics, Systems and Control program in ETH Zürich, and I previously finished my bachelor study in Beihang University.

My main research interest is to incorporate machine learning techniques in model-based control schemes to make them more adaptive, secure, and computationally efficient. Now I am working on my master thesis, which focuses on approximating infinite horizon optimal control with short-horizon MPC in an efficient way, and I really like this topic!

In my leisure time, I like working out, travelling by driving, swimming and singing.

Research Interests

• System Control: optimization theory, model predictive control, reinforcement learning
• Applied Machine Learning: object detection, action recognition, time series forecasting

News

• [Oct. 2024] I continue to do my master thesis titled “Optimality and Limitations of Policy Optimization for MPC” in IfA in ETH Zürich!
• [Aug. 2024] My internship paper “Enhancing Port Automation: A Novel Object Detection Pipeline for Container Ship Bays” is accepted by 2024 IEEE Sensors Conference! Thanks for those who helped and guided me through the way!
• [Apr. 2024] I start my semester project about adaptive control for temperature stabilization of selective laser melting in IfA in ETH Zürich!
• [Oct. 2023] I start my 6-month internship as a 3D mapping intern in ABB Schweiz!
• [Sep. 2023] Our paper about skeletal action recognition is submitted to arXiv.
• [Aug. 2023] Our paper about predicting the coastal water quality is accepted by Journal of Marine Science and Engineering.

Publications

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