Botteghi N., Tomasetto M., Fasel U., Braghin F., and Manzoni A. - "HypeMARL: Multi-Agent Reinforcement Learning for High-dimensional, Parametric, and Distributed Systems", arXiv (very soon), 2025.

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]

ENUMATH | Heidelberg | September 2025. (very soon)

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]

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)