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06/24/2023
Physics-Informed Machine Learning for Modeling and Control of Dynamical Systems
Physics-informed machine learning (PIML) is a set of methods and tools t...
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03/13/2023
Multi-agent Distributed Model Predictive Control with Connectivity Constraint
In cooperative multi-agent robotic systems, coordination is necessary in...
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11/18/2022
Bayesian Multi-Task Learning MPC for Robotic Mobile Manipulation
Mobile manipulation in robotics is challenging due to the need of solvin...
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09/24/2022
Chronos and CRS: Design of a miniature car-like robot and a software framework for single and multi-agent robotics and control
From both an educational and research point of view, experiments on hard...
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10/06/2021
Model Learning and Contextual Controller Tuning for Autonomous Racing
Model predictive control has been widely used in the field of autonomous...
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03/08/2021
Design, Optimal Guidance and Control of a Low-cost Re-usable Electric Model Rocket
In the last decade, autonomous vertical take-off and landing (VTOL) vehi...
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08/13/2020
Meta Learning MPC using Finite-Dimensional Gaussian Process Approximations
Data availability has dramatically increased in recent years, driving mo...
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05/03/2017
Efficient Spatio-Temporal Gaussian Regression via Kalman Filtering
In this work we study the non-parametric reconstruction of spatio-tempor...
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07/22/2014
