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05/15/2023
Learning Switching Port-Hamiltonian Systems with Uncertainty Quantification
Switching physical systems are ubiquitous in modern control applications...
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04/03/2023
Leveraging Predictive Models for Adaptive Sampling of Spatiotemporal Fluid Processes
Persistent monitoring of a spatiotemporal fluid process requires data sa...
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07/19/2022
Online Dynamics Learning for Predictive Control with an Application to Aerial Robots
In this work, we consider the task of improving the accuracy of dynamic ...
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09/10/2021
Learning to Swarm with Knowledge-Based Neural Ordinary Differential Equations
Understanding decentralized dynamics from collective behaviors in swarms...
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09/10/2021
KNODE-MPC: A Knowledge-based Data-driven Predictive Control Framework for Aerial Robots
In this work, we consider the problem of deriving and incorporating accu...
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08/07/2021
Deformable Image Registration using Neural ODEs
Deformable image registration, aiming to find spatial correspondence bet...
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10/07/2020