Botteghi N., Pascali G., Fasel U., Manzoni A. - "HypEMBER: Hypernetwork-based Ensemble for Robust Policy Learning of Parametrized Dynamical Systems", arxiv:2607.19628, 2026. [article]
Tomasetto M., Botteghi N., Bruni G., Manzoni A. - "Physics-enhanced Reinforcement Learning for Real-time Optimal Control of Dynamical Systems", arxiv:2607.16177, 2026. [article]
Braghin A., Botteghi N., Tomasetto M., Manzoni A., Cazzulani G. - "Flow-aware Optimal Navigation in Unsteady Flows through Reinforcement Learning ", arxiv:2607.13553, 2026. [article]
Buda A., Chen X., Botteghi N., Fasel U. - "Robust Co-Design Optimisation for Agile Fixed-Wing UAVs", International Conference on Unmanned Aircraft Systems, 2026. [article]
Botteghi N., Glas S., Brune C. - "Deep Invertible Autoencoders for Dimensionality Reduction of Dynamical Systems", arxiv:2603.13496, 2026. [article]
Botteghi N., Brook O., Fasel U., Califano F. - "Interconnection and Damping Assignment Passivity-Based Control using Sparse Neural ODEs", Accepted at the IFAC World Congress, 2026. [article]
Botteghi N., Tomasetto M., Fasel U., Braghin F., and Manzoni A. - "HypeMARL: Multi-Agent Reinforcement Learning for High-dimensional, Parametric, and Distributed Systems", arXiv:2509.16709, 2025. [article]
Botteghi N., Fresca S., Guo M., and Manzoni A. - "Hypernetwork-Based Reinforcement Learning for Control of Parametrized Dynamical Systems", 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", Data-Centric Engineering, 2025. [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", International Conference on Unmanned Aircraft Systems, 2025. [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 ", International Conference on 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”, 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]
WCCM-ECCOMAS | Munich | July 2026.
MERC Workshop on Active Inference | Napoli | June 2026.
Physics-enhanced machine learning and data-driven nonlinear dynamics | Como | April 2026.
Physics-Enhanced Machine Learning | London | October 2025.
ENUMATH | Heidelberg | September 2025.
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]
Robotics Deep Reinforcement Learning with Loose Prior Knowledge | October 2021 [thesis] [slides] [recording]
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)