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03/16/2023
Error analysis of regularized trigonometric linear regression with unbounded sampling: a statistical learning viewpoint
The effectiveness of non-parametric, kernel-based methods for function e...
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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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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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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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12/23/2019