About

The ONE lab focuses on developing methodologies for analyzing, estimating, and controlling cyber-physical systems (CPS), especially self-driving cars and autonomous aerial vehicles. The lab integrates expertise from optimization, control theory and machine learning to develop the theoretical foundations for networked CPS operating in adversarial settings, extreme weather, and other scenarios with significant uncertainties. These theories then guide the creation of practical, efficient, and verifiable algorithms for real-world implementation.


ME Building Room 230

Autonomous Cars and Drones

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This project focuses on building and experimenting with autonomous platforms, including the F1TENTH car and Crazyflie nano-drone. By integrating advanced control, perception, and learning algorithms, we aim to develop testbeds for real-world autonomous navigation in both ground and aerial environments.

ConnectAI: Peer Learning Platform

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This project utilizes heterogeneous graph neural network to map students with similar characteristics. This also notifies the course designers to tailor the courses for each particular student groups. This helps students to learn in a better way.