| 2025 | IROS | Tiny LiDARs for Manipulator Self-Awareness: Sensor Characterization and Initial Localization Experiments. | Giammarco Caroleo, Alessandro Albini, Daniele De Martini, Timothy D. Barfoot, Perla Maiolino |
| 2025 | IROS | GraphSCENE: On-Demand Critical Scenario Generation for Autonomous Vehicles in Simulation. | Efimia Panagiotaki, Georgi Pramatarov, Lars Kunze, Daniele De Martini |
| 2025 | IROS | MinkOcc: Towards real-time label-efficient semantic occupancy prediction. | Samuel Sze, Daniele De Martini, Lars Kunze |
| 2024 | ICRA | That's My Point: Compact Object-centric LiDAR Pose Estimation for Large-scale Outdoor Localisation. | Georgi Pramatarov, Matthew Gadd, Paul Newman, Daniele De Martini |
| 2024 | ICRA | VDNA-PR: Using General Dataset Representations for Robust Sequential Visual Place Recognition. | Benjamin Ramtoula, Daniele De Martini, Matthew Gadd, Paul Newman |
| 2024 | INFOCOM | TAGIC: Task-Guided Image Communication Framework for Seamless Teleoperation. | Yufeng Diao, Yichi Zhang, Philip G. Zhao, Daniele De Martini |
| 2024 | IROS | NeuralFloors++: Consistent Street-Level Scene Generation From BEV Semantic Maps. | Valentina Musat, Daniele De Martini, Matthew Gadd, Paul Newman |
| 2024 | ICRA | Masked γ-SSL: Learning Uncertainty Estimation via Masked Image Modeling. | David S. W. Williams, Matthew Gadd, Paul Newman, Daniele De Martini |
| 2023 | CVPR | Visual DNA: Representing and Comparing Images Using Distributions of Neuron Activations. | Benjamin Ramtoula, Matthew Gadd, Paul Newman, Daniele De Martini |
| 2023 | ICRA | Explainable Action Prediction through Self-Supervision on Scene Graphs. | Pawit Kochakarn, Daniele De Martini, Daniel Omeiza, Lars Kunze |
| 2023 | IROS | Visual Servoing on Wheels: Robust Robot Orientation Estimation in Remote Viewpoint Control. | Luke Robinson, Daniele De Martini, Matthew Gadd, Paul Newman |
| 2022 | ICRA | Depth-SIMS: Semi-Parametric Image and Depth Synthesis. | Valentina Musat, Daniele De Martini, Matthew Gadd, Paul Newman |
| 2022 | IROS | BoxGraph: Semantic Place Recognition and Pose Estimation from 3D LiDAR. | Georgi Pramatarov, Daniele De Martini, Matthew Gadd, Paul Newman |
| 2022 | ICRA | Fast-MbyM: Leveraging Translational Invariance of the Fourier Transform for Efficient and Accurate Radar Odometry. | Rob Weston, Matthew Gadd, Daniele De Martini, Paul Newman, Ingmar Posner |
| 2021 | AAAI | RainBench: Towards Data-Driven Global Precipitation Forecasting from Satellite Imagery. | Christian Schrder de Witt, Catherine Tong, Valentina Zantedeschi, Daniele De Martini, Alfredo Kalaitzis, Matthew Chantry, Duncan Watson-Parris, Piotr Bilinski |
| 2021 | ICRA | Fool Me Once: Robust Selective Segmentation via Out-of-Distribution Detection with Contrastive Learning. | David S. W. Williams, Matthew Gadd, Daniele De Martini, Paul M. Newman |
| 2020 | ETFA | Distributed architecture for a smart LEDs display system based on MQTT. | Tullio Facchinetti, Andrea Bonandin, Guido Benetti, Daniele De Martini |
| 2020 | ICRA | Kidnapped Radar: Topological Radar Localisation using Rotationally-Invariant Metric Learning. | Stefan Saftescu, Matthew Gadd, Daniele De Martini, Dan Barnes, Paul Newman |
| 2019 | ICRA | Fast Radar Motion Estimation with a Learnt Focus of Attention using Weak Supervision. | Roberto Aldera, Daniele De Martini, Matthew Gadd, Paul Newman |
| 2019 | INDIN | Fall Detection with Supervised Machine Learning using Wearable Sensors. | Davide Giuffrida, Guido Benetti, Daniele De Martini, Tullio Facchinetti |
| 2018 | ETFA | A Comparison of RSSI Filtering Techniques for Range-based Localization. | Moses A. Koledoye, Daniele De Martini, Simone Rigoni, Tullio Facchinetti |
| 2017 | IJCCI | A Framework for Automatic Generation of Fuzzy Evaluation Systems for Embedded Applications. | Daniele De Martini, Gianluca Roveda, Alessandro Bertini, Agnese Marchini, Tullio Facchinetti |