Daniele is a Departmental Lecturer in Mobile Robotics and co-leads with Professor Paul Newmand the Mobile Robotics Group. He is also a College Lecturer in Engineering Science at Pembroke College.
Daniele is interested in robust navigation and scene understanding -- from odometry and localisation to detection and segmentation -- enabling the deployment of robots in challenging weather and scenarios. He is exploring techniques to improve robustness either by utilising inherently more robust sensors, focusing on FMCW scanning radar technology, or enhancing the training of perception modules.
Recent Publications
AutoInspect: towards long-term autonomous inspection and monitoring
Staniaszek M, Flatscher T, Rowell J, Niu H, Liu W et al. (2025), IEEE Transactions on Field Robotics
BibTeX
@article{autoinspecttowa-2025/7,
title={AutoInspect: towards long-term autonomous inspection and monitoring},
author={Staniaszek M, Flatscher T, Rowell J, Niu H, Liu W et al.},
journal={IEEE Transactions on Field Robotics},
publisher={IEEE},
year = "2025"
}
The Oxford RobotCycle Project: A Multimodal Urban Cycling Dataset for Assessing the Safety of Vulnerable Road Users
Panagiotaki E, Thuremella D, Baghabrah J, Sze S, Fu LFT et al. (2025), IEEE Transactions on Field Robotics, PP(99), 1-1
BibTeX
@article{theoxfordrobotc-2025/5,
title={The Oxford RobotCycle Project: A Multimodal Urban Cycling Dataset for Assessing the Safety of Vulnerable Road Users},
author={Panagiotaki E, Thuremella D, Baghabrah J, Sze S, Fu LFT et al.},
journal={IEEE Transactions on Field Robotics},
volume={PP},
pages={1-1},
publisher={Institute of Electrical and Electronics Engineers (IEEE)},
year = "2025"
}
Bayesian Radar Cosplace: Directly estimating location uncertainty in radar place recognition
Agarwal S, Yuan J, Newman P, De Martini D & Gadd M (2025), IET Radar Sonar & Navigation, 19(1)
BibTeX
@article{bayesianradarco-2025/3,
title={Bayesian Radar Cosplace: Directly estimating location uncertainty in radar place recognition},
author={Agarwal S, Yuan J, Newman P, De Martini D & Gadd M},
journal={IET Radar Sonar & Navigation},
volume={19},
publisher={Institution of Engineering and Technology (IET)},
year = "2025"
}
Tiny Lidars for Manipulator Self-Awareness: Sensor Characterization and Initial Localization Experiments
Caroleo G, Albini A, De Martini D, Barfoot TD & Maiolino P (2025)
BibTeX
@inproceedings{tinylidarsforma-2025/3,
title={Tiny Lidars for Manipulator Self-Awareness: Sensor Characterization and Initial Localization Experiments},
author={Caroleo G, Albini A, De Martini D, Barfoot TD & Maiolino P},
booktitle={IEEE/RSJ International Conference on Intelligent Robots and Systems},
year = "2025"
}
NeuralFloors++: consistent street-level scene generation from BEV semantic maps
Musat V, De Martini D, Gadd M & Newman P (2024), 12872-12879
BibTeX
@inproceedings{neuralfloorscon-2024/12,
title={NeuralFloors++: consistent street-level scene generation from BEV semantic maps},
author={Musat V, De Martini D, Gadd M & Newman P},
booktitle={IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2024)},
pages={12872-12879},
year = "2024"
}
GraphSCENE: On-Demand Critical Scenario Generation for Autonomous Vehicles in Simulation
Panagiotaki E, Pramatarov G, Kunze L & Martini DD (2024)
BibTeX
@inproceedings{graphsceneondem-2024/10,
title={GraphSCENE: On-Demand Critical Scenario Generation for Autonomous
Vehicles in Simulation},
author={Panagiotaki E, Pramatarov G, Kunze L & Martini DD},
booktitle={IEEE/RSJ International Conference on Intelligent Robots and Systems},
year = "2024"
}
NAR-*ICP: Neural Execution of Classical ICP-based Pointcloud Registration Algorithms
Panagiotaki E, De Martini D, Kunze L & Veličković P (2024)
BibTeX
@misc{naricpneuralexe-2024/10,
title={NAR-*ICP: Neural Execution of Classical ICP-based Pointcloud Registration Algorithms},
author={Panagiotaki E, De Martini D, Kunze L & Veličković P},
year = "2024"
}
Robot-relay:building-wide, calibration-less visual servoing with learned sensor handover networks
Robinson L, Gadd M, Newman P & De Martini D (2024), Experimental Robotics: The 18th International Symposium, 129-140
BibTeX
@inproceedings{robotrelaybuild-2024/8,
title={Robot-relay:building-wide, calibration-less visual servoing with learned sensor handover networks},
author={Robinson L, Gadd M, Newman P & De Martini D},
booktitle={18th International Symposium on Experimental Robotics (ISER 2023)},
pages={129-140},
year = "2024"
}
VDNA-PR: using general dataset representations for robust sequential visual place recognition
Ramtoula B, De Martini D, Gadd M & Newman P (2024), 2024 IEEE International Conference on Robotics and Automation (ICRA), 15883-15889
BibTeX
@inproceedings{vdnaprusinggene-2024/8,
title={VDNA-PR: using general dataset representations for robust sequential visual place recognition},
author={Ramtoula B, De Martini D, Gadd M & Newman P},
booktitle={2024 IEEE International Conference on Robotics and Automation (ICRA 2024)},
pages={15883-15889},
year = "2024"
}
What you see is what you get: experience ranking with deep neural dataset-to-dataset similarity for topological localisation
Gadd M, Ramtoula B, De Martini D & Newman P (2024), Experimental Robotics: The 18th International Symposium, 595-607
BibTeX
@inproceedings{whatyouseeiswha-2024/8,
title={What you see is what you get: experience ranking with deep neural dataset-to-dataset similarity for topological localisation},
author={Gadd M, Ramtoula B, De Martini D & Newman P},
booktitle={18th International Symposium on Experimental Robotics (ISER 2023)},
pages={595-607},
year = "2024"
}
