Research
Theses
PhD
Robotics Deep Reinforcement Learning with Loose Prior Knowledge | October 2021 [thesis] [slides] [recording]
MSc
Publications & Pre-prints
Botteghi N., Califano F., Poel M., Brune C. - "Trajectory Generation, Control, and Safety with Denoising Diffusion Probabilistic Models", arXiv preprint arXiv:2306.15512, 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”, 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]
Presentations & Posters
International Conference on Machine Learning | Honolulu | July 2023. [poster]
Math 2 Product Conference | Taormina | May 2023. [slides]
SIAM Conference 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]
Work in Progress (soon on arxiv)
Botteghi N., Guo M., Brune C. - “Bayesian Sequential Experimental Design for Physics-Informed Neural Networks”, 2023.
Botteghi N., Sauter A., Acar E. – “Meta Reinforcement Learning for Causal Discovery”, 2023.
Peer Reviewer for Journals and Conferences
IEEE International Conference on Robotics and Automation (ICRA)
IEEE International Conference on Intelligent Robots and Systems (IROS)
IEEE Robotics and Automation Letter
IEEE Transaction on Neural Networks and Learning Systems