Botteghi N., Fresca S., Guo M., and Manzoni A. - "HypeRL: Parameter-Informed Reinforcement Learning for Parametric Partial Differential Equations", arXiv preprint arXiv:2501.04538, 2024. [article]

Wolf F., Botteghi N., Fasel U., and Manzoni A. - "Interpretable and Efficient Data-driven Discovery and Control of Distributed Systems",  arXiv preprint arXiv:2411.04098, 2024. [article]

Nikken M., Botteghi N., Roozing W., and Califano F. "Denoising Diffusion Planner: Learning Complex Paths from Low-Quality Demonstrations", arXiv preprint arXiv:2410.21497, 2024. [article]

Gerges B., Bazzana B., Botteghi N., Aboudorra Y., and Franchi A.. "Invisible Servoing: a Visual Servoing Approach with Return-Conditioned Latent Diffusion", arXiv preprint arXiv:2409.13337, 2024. [article]

Botteghi, N., and Fasel U. "Sparsifying Parametric Models with L0 Regularization", arXiv preprint arXiv:2409.03489, 2024. [article] [code]

Botteghi, N., Motta, P., Manzoni, A., Zunino, P. and Guo, M. "Recurrent Deep Kernel Learning of Dynamical Systems", arXiv preprint arXiv:2405.19785, 2024. [article]

Botteghi N., Fasel U. "Parametric PDE Control with Deep Reinforcement Learning and Differentiable L0-Sparse Polynomial Policies", arXiv preprint arXiv:2403.15267, 2024. Accepted at Conference on Decision and Control [article]

Sauter A., Botteghi N., Acar E., Plaat A. - "CORE: Towards Scalable and Efficient Causal Discovery with Reinforcement Learning ", Accepted at Autonomous Agents and Multiagent Systems, 2024 . [article]

Botteghi N., Califano F., Poel M., Brune C. - "Trajectory Generation, Control, and Safety with Denoising Diffusion Probabilistic Models", Workshop on New Frontiers in Learning, Control, and Dynamical Systems at International Conference on Machine Learning, 2023. [article][code]

Wotte Y., Dummer S., Botteghi N., Brune C., Stramigioli S., Califano F. - “Discovering Efficient Periodic Behaviours in Mechanical Systems via Neural Approximators”, Optimal Control Applications and Methods , 2022. [article]

Botteghi N., Poel M., Brune C. - “Unsupervised Representation Learning in Deep Reinforcement Learning: A Review”,  Accepted for publication on Control Systems Magazine. arXiv:2208.14226, 2022. [article][code]

Botteghi N., Guo M., Brune C. - “Deep Kernel Learning of Dynamical Models from High-Dimensional Noisy Data”,  Scientific Reports, 2022. [article][code]

Botteghi N., Alaa K., Poel M., Sirmacek B., Brune C., Mersha A., Stramigioli S. - “Low Dimensional State Representation with Robotics Priors in Continuous Action Spaces”, International Conference on Intelligent Robots and Systems, 2021. [article][code]

Botteghi N., Grefte L., Poel M., Sirmacek B., Brune C., Dertien E., Stramigioli S. - “Towards Autonomous Pipeline Inspection with Hierarchical Reinforcement Learning”, International Conference on Robot Intelligence, Technology and Applications , 2021. [article]

Botteghi N., Poel M., Sirmacek B., Brune C. - “Low-Dimensional State and Action Representation Learning with MDP Homomorphism Metrics”, arXiv:2107.01677, 2021. [article]

Botteghi N., Schulte R., Sirmacek B., Poel M., Brune C. - “Curiosity-driven Reinforcement Learning Agent for Mapping Unknown Indoor Environments”, The International Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences, ISPRS Congress, 2021. [article]

Postmes J., Botteghi N., Sirmacek B., Kamilaris A. – “A System for Efficient Path Planning and Target Assignment for Robotic Swarms in Agriculture”, International Conference on the Internet of Things, 2021. [article]

Botteghi N., Sirmacek B., Unsalan C. - “RLSnake: A Hybrid Reinforcement Learning Approach for Road Detection”, The International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences, ISPRS Congress, 2021. [article]

Botteghi N., Obbink R., Geijs D., Poel M., Sirmacek B., Brune C., Mersha A., Stramigioli S. - "Low Dimensional State Representation Learning with Reward-shaped Priors." International Conference on Pattern Recognition, 2021. [article]

Botteghi N., Alaa K., Sirmacek B., Poel M. - "Entropy-Based Exploration for Mobile Robot Navigation: A Learning-Based Approach." Planning and Robotics Workshop, ICAPS, 2020. [article]

Botteghi N., Kamilaris A., Sinai L., Sirmacek B. - "Multi-Agent Path Planning of Robotic Swarms in Agricultural Fields." The International Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences, ISPRS Congress, 2020. [article]

Botteghi N., Sirmacek B., Schulte R., Poel M., Brune C. - "Reinforcement learning helps slam: Learning to build maps." The International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences, ISPRS Congress, 2020. [article]

Kamilaris A., Botteghi N. - "The penetration of Internet of Things in robotics: Towards a web of robotic things." Journal of Ambient Intelligence and Smart Environments, 2020. [article]

Botteghi N., Sirmacek B., Alaa K., Poel M., Stramigioli S. "On reward shaping for mobile robot navigation: A reinforcement learning and SLAM based approach." arXiv:2002.04109, 2020. [article]

Sirmacek B., Botteghi N., Sanchez S. - "Sequential image processing methods for improving semantic video segmentation algorithms." arXiv:1910.13348, 2019. [article]

Alaa K., Botteghi N., Sirmacek B., Poel M., Stramigioli S. - "Towards Continuous Control for Mobile Robot Navigation: A Reinforcement Learning and SLAM-based Approach." The International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences, 2019. [article]

University of Washington | Seattle | October 2024. [slides] [recording]

ECCOMAS | Lisbon | June 2024. [slides]

SIAM Conference on Uncertainty Quantification | Trieste | February 2024. [slides]  

Polythecnic of Milano | Milano | December 2023.

International Conference on Machine Learning | Honolulu | July 2023. [poster]

Math 2 Product Conference | Taormina | May 2023. [slides]

SIAM Conference on Computation Science and Engineering | Amsterdam | March 2023. [slides]

NWO ICT open | Amsterdam | April 2021. [slides]

IEEE International Conference on Robot Intelligence Technology and Applications | Digital | December 2021. [recording]

IEEE International Conference on Robotics and Intelligence Systems | Digital | September 2021. [recording]

International Society for Photogrammetry and Remote Sensing  Congress  | Digital | July 2021. [recording]

IEEE International Conference on Pattern Recognition | Digital | January 2021. [slides]

International Conference on Automated Planning and Scheduling | Digital | October 2020. [recording]

International Society for Photogrammetry and Remote Sensing Congress | Digital | August 2020. [recording]

International Society for Photogrammetry and Remote Sensing Geospatial Week | Enschede | June 2019. [slides]

Botteghi N., Sowa A., Brune C., and Califano F. - “Classifier-Free Denoising Diffusion Probabilistic Models for Parametric Partial Differential Equations”, 2024.

IEEE Conference  on Decision and Control (CDC)

IEEE International Conference on Robotics and Automation (ICRA)

IEEE International Conference on Intelligent Robots and Systems (IROS)

IEEE Robotics and Automation Letter (RA-L)

IEEE Transaction on Neural Networks and Learning Systems (TNNLS)

Learning for Decision and Control (L4DC)