Publications
Please find below an exhaustive link of our lab’s publications, including detailed information and supplementary material.
L. Schroth, D. Morton, A. Lahr, D. Gammelli, A. Carron, and M. Pavone · European Control Conference
@inproceedings{schroth2026multi,
author = {L. Schroth and D. Morton and A. Lahr and D. Gammelli and A. Carron and M. Pavone},
title = {{Multi-Timescale Model Predictive Control for Slow-Fast Systems}},
booktitle = {European Control Conference},
year = {2026},
url = {https://arxiv.org/pdf/2511.14311},
note = {Submitted}
}
E. K. Toft, C. Schmidt, D. Gammelli, and F. Rodrigues · arXiv preprint arXiv:2603.05000
@misc{toft2026competitive,
author = {E. K. Toft and C. Schmidt and D. Gammelli and F. Rodrigues},
title = {{Competitive Multi-Operator Reinforcement Learning for Joint Pricing and Fleet Rebalancing in Autonomous Mobility-on-Demand Systems}},
year = {2026},
eprint = {2603.05000},
archivePrefix = {arXiv},
note = {Preprint},
url = {https://arxiv.org/abs/2603.05000}
}
M. Foutter, M. Cercola, L. Wild, Y. Wang, M. Li, D. Gammelli, and M. Pavone · arXiv preprint arXiv:2607.04681
@misc{foutter2026vision,
author = {M. Foutter and M. Cercola and L. Wild and Y. Wang and M. Li and D. Gammelli and M. Pavone},
title = {{Do Vision-Language-Action Models Mean What They Say? On the Role of Faithfulness in Embodied Reasoning}},
year = {2026},
eprint = {2607.04681},
archivePrefix = {arXiv},
note = {Preprint},
url = {https://arxiv.org/abs/2607.04681}
}
GovernorVLA: Adaptive Embodied Reasoning for Long-tail Autonomous Driving (Submitted)
M. Foutter, J. Dao, Y. Wang, D. Gammelli, and M. Pavone · arXiv preprint
@misc{foutter2026governorvla,
author = {M. Foutter and J. Dao and Y. Wang and D. Gammelli and M. Pavone},
title = {{GovernorVLA: Adaptive Embodied Reasoning for Long-tail Autonomous Driving}},
year = {2026},
note = {Preprint}
}
L. Tresca, C. Schmidt, J. Harrison, F. Rodrigues, G. Zardini, D. Gammelli, and M. Pavone · IEEE Transactions on Control of Network Systems
@article{tresca2026robo,
author = {L. Tresca and C. Schmidt and J. Harrison and F. Rodrigues and G. Zardini and D. Gammelli and M. Pavone},
title = {{Robo-taxi Fleet Coordination at Scale via Reinforcement Learning}},
journal = {IEEE Transactions on Control of Network Systems},
year = {2026},
url = {https://arxiv.org/abs/2504.06125},
note = {Submitted}
}
E. Brosius, Y. Takubo, D. Gammelli, S. D’Amico, and M. Pavone · arXiv preprint arXiv:2606.04123
@misc{brosius2026semantic,
author = {E. Brosius and Y. Takubo and D. Gammelli and S. D'Amico and M. Pavone},
title = {{Semantic Constraint Synthesis for Adaptive Trajectory Optimization via Large Language Models}},
year = {2026},
eprint = {2606.04123},
archivePrefix = {arXiv},
note = {Preprint},
url = {https://arxiv.org/abs/2606.04123}
}
X. Li, M. Alharbi, D. Gammelli, J. Harrison, F. Rodrigues, M. Schiffer, M. Pavone, E. Frazzoli, J. Zhao, and G. Zardini · IEEE Transactions on Robotics
@article{li2025reproducibility,
author = {X. Li and M. Alharbi and D. Gammelli and J. Harrison and F. Rodrigues and M. Schiffer and M. Pavone and E. Frazzoli and J. Zhao and G. Zardini},
title = {{Reproducibility in the Control of Autonomous Mobility-on-Demand Systems}},
journal = {IEEE Transactions on Robotics},
year = {2025},
url = {https://arxiv.org/abs/2506.07345},
note = {Submitted}
}
Modeling Transport Data Under Stochastic and Latent Censorship (Submitted)
I. Peled, D. Gammelli, F. Rodrigues, D. Pacino, and F. C. Pereira · arXiv preprint
@misc{peled2020modeling,
author = {I. Peled and D. Gammelli and F. Rodrigues and D. Pacino and F. C. Pereira},
title = {{Modeling Transport Data Under Stochastic and Latent Censorship}},
year = {2020},
note = {Preprint}
}
X. Li, D. Gammelli, A. Wallar, J. Zhao, and G. Zardini · IEEE Robotics and Automation Letters
Y. Takubo, D. Gammelli, M. Pavone, and S. D’Amico · IEEE Aerospace Conference
GRAND: Guidance, Rebalancing, and Assignment for Networked Dispatch in Multi-Agent Path Finding
J. Gaber, M. Alharbi, D. Gammelli, and G. Zardini · IEEE Robotics and Automation Letters
@article{gaber2026grand,
author = {J. Gaber and M. Alharbi and D. Gammelli and G. Zardini},
title = {{GRAND: Guidance, Rebalancing, and Assignment for Networked Dispatch in Multi-Agent Path Finding}},
journal = {IEEE Robotics and Automation Letters},
year = {2026}
}
P. B. Eberhard, L. Pabon, D. Gammelli, H. Buurmeijer, A. Lahr, M. Leone, A. Carron, and M. Pavone · IEEE Int. Conf. on Robotics and Automation (ICRA)
@inproceedings{eberhard2026graph,
author = {P. B. Eberhard and L. Pabon and D. Gammelli and H. Buurmeijer and A. Lahr and M. Leone and A. Carron and M. Pavone},
title = {{Graph Neural Model Predictive Control for High-Dimensional Systems}},
booktitle = {IEEE Int. Conf. on Robotics and Automation (ICRA)},
year = {2026},
url = {https://arxiv.org/abs/2602.17601}
}
Y. Takubo, A. Dwivedi, S. Ramkumar, L. Pabon, D. Gammelli, M. Pavone, and S. D’Amico · AIAA Scitech Forum
@inproceedings{takubo2026semantic,
author = {Y. Takubo and A. Dwivedi and S. Ramkumar and L. Pabon and D. Gammelli and M. Pavone and S. D'Amico},
title = {{Semantic Trajectory Generation for Goal-Oriented Spacecraft Rendezvous}},
booktitle = {AIAA Scitech Forum},
year = {2026},
url = {https://arxiv.org/abs/2512.09111}
}
D. Celestini, A. Afsharrad, D. Gammelli, T. Guffanti, G. Zardini, S. Lall, E. Capelli, S. D’Amico, and M. Pavone · American Control Conference
@inproceedings{celestini2025generalizable,
author = {D. Celestini and A. Afsharrad and D. Gammelli and T. Guffanti and G. Zardini and S. Lall and E. Capelli and S. D'Amico and M. Pavone},
title = {{Generalizable Spacecraft Trajectory Generation via Multimodal Learning with Transformers}},
booktitle = {American Control Conference},
year = {2025},
url = {https://arxiv.org/abs/2410.11723}
}
Learning Joint Rebalancing and Dynamic Pricing Policies for Autonomous Mobility-on-Demand Systems
X. Li, C. Schmidt, D. Gammelli, and F. Rodrigues · IEEE Transactions on Intelligent Transportation Systems
@article{li2025learning,
author = {X. Li and C. Schmidt and D. Gammelli and F. Rodrigues},
title = {{Learning Joint Rebalancing and Dynamic Pricing Policies for Autonomous Mobility-on-Demand Systems}},
journal = {IEEE Transactions on Intelligent Transportation Systems},
year = {2025}
}
O. B. Lassen, S. Agriesti, M. Eldafrawi, D. Gammelli, G. Cantelmo, G. Gentile, and F. C. Pereira · Int. Conf. on Models and Technologies for Intelligent Transportation Systems (MT-ITS)
@inproceedings{lassen2025learning,
author = {O. B. Lassen and S. Agriesti and M. Eldafrawi and D. Gammelli and G. Cantelmo and G. Gentile and F. C. Pereira},
title = {{Learning Traffic Flows: Graph Neural Networks for Metamodelling Traffic Assignment}},
booktitle = {Int. Conf. on Models and Technologies for Intelligent Transportation Systems (MT-ITS)},
year = {2025},
url = {https://arxiv.org/abs/2505.11230}
}
Learning-based Control of Autonomous Mobility-on-Demand in Competitive Environments
J. Andreasen, F. Sørensen, A. Tang, C. Schmidt, D. Gammelli, F. Rodrigues, and F. C. Pereira · Triennial Symposium on Transportation Analysis (TRISTAN)
@inproceedings{andreasen2025learning,
author = {J. Andreasen and F. Sørensen and A. Tang and C. Schmidt and D. Gammelli and F. Rodrigues and F. C. Pereira},
title = {{Learning-based Control of Autonomous Mobility-on-Demand in Competitive Environments}},
booktitle = {Triennial Symposium on Transportation Analysis (TRISTAN)},
year = {2025}
}
C. Schmidt, D. Gammelli, J. Harrison, M. Pavone, and F. Rodrigues · Int. Conf. on Learning Representations
@inproceedings{schmidt2025offline,
author = {C. Schmidt and D. Gammelli and J. Harrison and M. Pavone and F. Rodrigues},
title = {{Offline Hierarchical Reinforcement Learning via Inverse Optimization}},
booktitle = {Int. Conf. on Learning Representations},
year = {2025},
url = {https://arxiv.org/abs/2410.07933}
}
M. Foutter, D. Gammelli, J. Kruger, E. Foss, P. Bhoj, T. Guffanti, S. D’Amico, and M. Pavone · IEEE Aerospace Conference
@inproceedings{foutter2025space,
author = {M. Foutter and D. Gammelli and J. Kruger and E. Foss and P. Bhoj and T. Guffanti and S. D'Amico and M. Pavone},
title = {{Space-LLaVA: a Vision-Language Model Adapted to Extraterrestrial Applications}},
booktitle = {IEEE Aerospace Conference},
year = {2025},
url = {https://arxiv.org/abs/2408.05924}
}
Y. Takubo, T. Guffanti, D. Gammelli, M. Pavone, and S. D’Amico · IEEE Aerospace Conference
M. P. Ronecker, M. Foutter, A. Elhafsi, D. Gammelli, I. Barakaiev, M. Pavone, and D. Watzenig · IEEE Int. Conf. on Robotics and Automation (ICRA)
@inproceedings{ronecker2025vision,
author = {M. P. Ronecker and M. Foutter and A. Elhafsi and D. Gammelli and I. Barakaiev and M. Pavone and D. Watzenig},
title = {{Vision Foundation Model Embedding-based Semantic Anomaly Detection}},
booktitle = {IEEE Int. Conf. on Robotics and Automation (ICRA)},
year = {2025},
url = {https://arxiv.org/abs/2505.07998}
}
Real-time Control of Electric Autonomous Mobility-on-Demand Systems via Graph Reinforcement Learning
A. Singhal, D. Gammelli, J. Luke, K. Gopalakrishnan, D. Helmreich, and M. Pavone · European Control Conference
@inproceedings{singhal2024real,
author = {A. Singhal and D. Gammelli and J. Luke and K. Gopalakrishnan and D. Helmreich and M. Pavone},
title = {{Real-time Control of Electric Autonomous Mobility-on-Demand Systems via Graph Reinforcement Learning}},
booktitle = {European Control Conference},
year = {2024},
url = {https://arxiv.org/abs/2311.05780}
}
Learning to Control Autonomous Fleets from Observation via Offline Reinforcement Learning
C. Schmidt, D. Gammelli, F. C. Pereira, and F. Rodrigues · European Control Conference
@inproceedings{schmidt2024learning,
author = {C. Schmidt and D. Gammelli and F. C. Pereira and F. Rodrigues},
title = {{Learning to Control Autonomous Fleets from Observation via Offline Reinforcement Learning}},
booktitle = {European Control Conference},
year = {2024}
}
D. Celestini, D. Gammelli, T. Guffanti, S. D’Amico, E. Capelli, and M. Pavone · IEEE Robotics and Automation Letters
@article{celestini2024transformer,
author = {D. Celestini and D. Gammelli and T. Guffanti and S. D'Amico and E. Capelli and M. Pavone},
title = {{Transformer-based Model Predictive Control: Trajectory Optimization via Sequence Modeling}},
journal = {IEEE Robotics and Automation Letters},
year = {2024}
}
T. Guffanti, D. Gammelli, S. D’Amico, and M. Pavone · IEEE Aerospace Conference
@inproceedings{guffanti2024transformers,
author = {T. Guffanti and D. Gammelli and S. D'Amico and M. Pavone},
title = {{Transformers for Trajectory Optimization with Application to Spacecraft Rendezvous}},
booktitle = {IEEE Aerospace Conference},
year = {2024},
url = {https://arxiv.org/abs/2310.13831}
}
D. Gammelli, J. Harrison, K. Yang, M. Pavone, F. Rodrigues, and F. C. Pereira · Int. Conf. on Machine Learning
@inproceedings{gammelli2023graph,
author = {D. Gammelli and J. Harrison and K. Yang and M. Pavone and F. Rodrigues and F. C. Pereira},
title = {{Graph Reinforcement Learning for Network Control via Bi-Level Optimization}},
booktitle = {Int. Conf. on Machine Learning},
year = {2023},
url = {https://arxiv.org/abs/2305.09129}
}
D. Gammelli, K. Yang, J. Harrison, F. Rodrigues, F. Pereira, and M. Pavone · ACM Int. Conf. on Knowledge Discovery and Data Mining
@inproceedings{gammelli2022graph,
author = {D. Gammelli and K. Yang and J. Harrison and F. Rodrigues and F. Pereira and M. Pavone},
title = {{Graph Meta-Reinforcement Learning for Transferable Autonomous Mobility-on-Demand}},
booktitle = {ACM Int. Conf. on Knowledge Discovery and Data Mining},
year = {2022},
url = {https://arxiv.org/abs/2202.07147}
}
Graph Reinforcement Learning for Network Control via Bi-Level Optimization
D. Gammelli, J. Harrison, K. Yang, M. Pavone, F. Rodrigues, and P. C. Francisco · Learning on Graphs Conference
@inproceedings{gammelli2022graph,
author = {D. Gammelli and J. Harrison and K. Yang and M. Pavone and F. Rodrigues and P. C. Francisco},
title = {{Graph Reinforcement Learning for Network Control via Bi-Level Optimization}},
booktitle = {Learning on Graphs Conference},
year = {2022}
}
D. Gammelli, K. Yang, J. Harrison, F. Rodrigues, F. C. Pereira, and M. Pavone · IEEE Conf. on Decision and Control
@inproceedings{gammelli2021graph,
author = {D. Gammelli and K. Yang and J. Harrison and F. Rodrigues and F. C. Pereira and M. Pavone},
title = {{Graph Neural Network Reinforcement Learning for Autonomous Mobility-on-Demand Systems}},
booktitle = {IEEE Conf. on Decision and Control},
year = {2021},
url = {https://arxiv.org/abs/2104.11434}
}
Predictive and Prescriptive Performance of Bike-Sharing Demand Forecasts for Inventory Management
D. Gammelli, Y. Wang, D. Prak, F. Rodrigues, S. Minner, and F. C. Pereira · Transportation Research Part C: Emerging Technologies
@article{gammelli2021predictive,
author = {D. Gammelli and Y. Wang and D. Prak and F. Rodrigues and S. Minner and F. C. Pereira},
title = {{Predictive and Prescriptive Performance of Bike-Sharing Demand Forecasts for Inventory Management}},
journal = {Transportation Research Part C: Emerging Technologies},
year = {2021}
}
A Machine Learning Approach to Censored Bike-Sharing Demand Modeling
D. Gammelli, F. Rodrigues, D. Pacino, H. A. Kurtaran, and F. C. Pereira · Transportation Research Board Annual Meeting
@inproceedings{gammelli2020machine,
author = {D. Gammelli and F. Rodrigues and D. Pacino and H. A. Kurtaran and F. C. Pereira},
title = {{A Machine Learning Approach to Censored Bike-Sharing Demand Modeling}},
booktitle = {Transportation Research Board Annual Meeting},
year = {2020}
}
Considering Patient Clinical History Impacts Performance of Machine Learning Models in Predicting Course of Multiple Sclerosis
R. Seccia, D. Gammelli, F. Dominici, S. Romano, A. C. Landi, and M. Salvetti · PLoS One
@article{seccia2020considering,
author = {R. Seccia and D. Gammelli and F. Dominici and S. Romano and A. C. Landi and M. Salvetti},
title = {{Considering Patient Clinical History Impacts Performance of Machine Learning Models in Predicting Course of Multiple Sclerosis}},
journal = {PLoS One},
year = {2020}
}
Estimating Latent Demand of Shared Mobility through Censored Gaussian Processes
D. Gammelli, I. Peled, F. Rodrigues, D. Pacino, H. A. Kurtaran, and F. C. Pereira · Transportation Research Part C: Emerging Technologies
@article{gammelli2020estimating,
author = {D. Gammelli and I. Peled and F. Rodrigues and D. Pacino and H. A. Kurtaran and F. C. Pereira},
title = {{Estimating Latent Demand of Shared Mobility through Censored Gaussian Processes}},
journal = {Transportation Research Part C: Emerging Technologies},
year = {2020}
}
Generalized Multi-Output Gaussian Process Censored Regression
D. Gammelli, K. P. Rolsted, D. Pacino, and F. Rodrigues · Pattern Recognition
@article{gammelli2020generalized,
author = {D. Gammelli and K. P. Rolsted and D. Pacino and F. Rodrigues},
title = {{Generalized Multi-Output Gaussian Process Censored Regression}},
journal = {Pattern Recognition},
year = {2020}
}
Recurrent Flow Networks: A Recurrent Latent Variable Model for Spatio-Temporal Density Modelling
D. Gammelli and F. Rodrigues · Pattern Recognition
@article{gammelli2020recurrent,
author = {D. Gammelli and F. Rodrigues},
title = {{Recurrent Flow Networks: A Recurrent Latent Variable Model for Spatio-Temporal Density Modelling}},
journal = {Pattern Recognition},
year = {2020}
}
Learning and Control for Adaptive Transportation Systems
D. Gammelli · Technical University of Denmark (DTU)
@phdthesis{gammelli2022learning,
author = {D. Gammelli},
title = {{Learning and Control for Adaptive Transportation Systems}},
school = {Technical University of Denmark (DTU)},
year = {2022}
}