The pages below cover that work from several sides: the six research threads we bring together, the software and toolboxes we release, the spaces and testbeds where the experiments actually run, and the outreach and lab life collected in our gallery.
Learn more about current research opportunities and projects.
Check the FAQ
Reservoir computing (RC) architectures that predict time-varying uncertainties in complex dynamical systems. By exploiting the computational efficiency of RC, we aim to predict unknown behaviors in dynamic environments.
Project details
Decision-making under uncertainty where the probability distribution of the uncertain parameter is unknown. We develop algorithms that stay reliable and robust against distribution shifts in real-world applications.
Project details
VR technology used to reimagine experiences for user-friendly urban mobility. Integrating autonomous devices into virtual environments creates immersive, personalized experiences that forecast the next generation of urban transportation.
Project details
A multi-level adaptive control architecture: the proactive level leverages data over a cloud network to cope with unforeseen environmental uncertainties, while the reactive level uses machine learning and robust adaptive control to compensate for them.
Project details
Inspired by the Miracle on the Hudson, a decision-making architecture that quickly makes a sequence of decisions for autonomous systems, integrating neuroscience, control theory, and machine learning toward safety guarantees under large uncertainties.
Project details
Safety-critical CPS applications — power systems, critical infrastructure, transportation networks, industrial control — have renewed interest in CPS security. We study and develop attack-resilient estimation and detection algorithms.
Project details
Optimization and Estimation Laboratory