Published in In the proceedings of 2024 European Control Conference (ECC), 2024
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Recommended citation: Davide De, Piero Simonetto, Niccolò Turcato, Luca Tonin, Ruggero Carli, "Nonlinear Model Predictive Control of a BMI-Guided Wheelchair for Navigation in Unknown Environments." In the proceedings of 2024 European Control Conference (ECC), 2024.
Published in arXiv, 2024
Recommended citation: Niccolò Turcato, Alberto Libera, Giulio Giacomuzzo, Ruggero Carli, Diego Romeres, "Learning control of underactuated double pendulum with Model-Based Reinforcement Learning." arXiv, 2024. https://arxiv.org/abs/2409.05811
Published in arXiv, 2024
Recommended citation: Marco Calì, Alberto Sinigaglia, Niccolò Turcato, Ruggero Carli, Gian Susto, "AI Olympics challenge with Evolutionary Soft Actor Critic." arXiv, 2024. https://arxiv.org/abs/2409.01104
Published in In the proceedings of 2023 9th International Conference on Control, Decision and Information Technologies (CoDIT), 2023
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Recommended citation: Niccolo' Turcato, Alberto Libera, Giulio Giacomuzzo, Ruggero Carli, "Teaching a Robot to Toss Arbitrary Objects with Model-Based Reinforcement Learning." In the proceedings of 2023 9th International Conference on Control, Decision and Information Technologies (CoDIT), 2023.
Published in In the proceedings of 22nd IFAC World Congress, 2023
Recommended citation: Giulio Giacomuzzo, Niccolo' Turcato, Alberto Libera, Ruggero Carli, "Embedding the Physics in Black-box Inverse Dynamics Identification: a Comparison Between Gaussian Processes and Neural Networks." In the proceedings of 22nd IFAC World Congress, 2023. https://www.sciencedirect.com/science/article/pii/S240589632302267X
Published in Master's Degree Thesis, 2022
Recommended citation: Niccolò Turcato, Ruggero Carli, "Model-Based Reinforcement Learning for industrial robotics applications." Master's Degree Thesis, 2022. https://hdl.handle.net/20.500.12608/33173
Published in In the proceedings of 2022 30th Mediterranean Conference on Control and Automation (MED), 2022
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Recommended citation: Giulio Giacomuzzo, Niccolo’ Turcato, Alberto Libera, Ruggero Carli, "Advantages of a physics-embedding kernel for robot inverse dynamics identification." In the proceedings of 2022 30th Mediterranean Conference on Control and Automation (MED), 2022.