Biography
Paul Newman is the BP Professor of Information Engineering at the University of Oxford. He is a member of the Oxford Robotics Institute within the Department of Engineering Science. The ORI enjoys a world leading reputation in mobile autonomy, developing machines which roll, walk, poke, swim and fly in the real world.
His focus lies on pushing the boundaries of navigation and autonomy techniques in terms of both endurance and scale. In 2014 he founded Oxbotica, a spinout company focused on Mobile Autonomy. He was elected fellow of the Royal Academy of Engineering and the IEEE with a citation for outstanding contributions to robot navigation.
Research Interests
- Mobile Robotics
- Computer Vision
- ML
- Navigation
- Systems
- Autonomous Vehicles
Research Groups
Recent Publications
Mitigating distributional shift in semantic segmentation via uncertainty estimation from unlabelled data
Williams DSW, De Martini D, Gadd M & Newman P (2024), IEEE Transactions on Robotics
VDNA-PR: Using General Dataset Representations for Robust Sequential Visual Place Recognition
Ramtoula B, De Martini D, Gadd M & Newman P (2024)
BibTeX
@misc{vdnaprusinggene-2024/3,
title={VDNA-PR: Using General Dataset Representations for Robust Sequential Visual Place Recognition},
author={Ramtoula B, De Martini D, Gadd M & Newman P},
year = "2024"
}
That's My Point: Compact Object-centric LiDAR Pose Estimation for Large-scale Outdoor Localisation
Pramatarov G, Gadd M, Newman P & De Martini D (2024)
BibTeX
@misc{thatsmypointcom-2024/3,
title={That's My Point: Compact Object-centric LiDAR Pose Estimation for Large-scale Outdoor Localisation},
author={Pramatarov G, Gadd M, Newman P & De Martini D},
year = "2024"
}
OORD: The Oxford Offroad Radar Dataset
Gadd M, De Martini D, Bartlett O, Murcutt P, Towlson M et al. (2024)
BibTeX
@misc{oordtheoxfordof-2024/3,
title={OORD: The Oxford Offroad Radar Dataset},
author={Gadd M, De Martini D, Bartlett O, Murcutt P, Towlson M et al.},
year = "2024"
}
Doppler-aware odometry from FMCW scanning radar
Rennie F, Williams D, Newman P & De Martini D (2024), 2023 IEEE 26th International Conference on Intelligent Transportation Systems (ITSC), 5126-5132
Visual servoing on wheels: robust robot orientation estimation in remote viewpoint control
Robinson L, De Martini D, Gadd M & Newman P (2023), 2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 6364-6370
BibTeX
@inproceedings{visualservoingo-2023/12,
title={Visual servoing on wheels: robust robot orientation estimation in remote viewpoint control},
author={Robinson L, De Martini D, Gadd M & Newman P},
booktitle={2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2023)},
pages={6364-6370},
year = "2023"
}
Off the radar: uncertainty-aware radar place recognition with introspective querying and map maintenance
Yuan J, Newman P & Gadd M (2023), 2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 1350-1357
BibTeX
@inproceedings{offtheradarunce-2023/12,
title={Off the radar: uncertainty-aware radar place recognition with introspective querying and map maintenance},
author={Yuan J, Newman P & Gadd M},
booktitle={2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2023)},
pages={1350-1357},
year = "2023"
}
Innovative method for rapid detection of falsified COVID-19 vaccines through unopened vials using handheld Spatially Offset Raman Spectroscopy (SORS)
Mosca S, Lin Q, Stokes R, Bharucha T, Gangadharan B et al. (2023), Vaccine, 41(47), 6960-6968
BibTeX
@article{innovativemetho-2023/10,
title={Innovative method for rapid detection of falsified COVID-19 vaccines through unopened vials using handheld Spatially Offset Raman Spectroscopy (SORS)},
author={Mosca S, Lin Q, Stokes R, Bharucha T, Gangadharan B et al.},
journal={Vaccine},
volume={41},
pages={6960-6968},
publisher={Elsevier},
year = "2023"
}
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 (2023)
Visual DNA: representing and comparing images using distributions of neuron activations
Ramtoula B, Gadd M, Newman P & De Martini D (2023), 11113-11123
BibTeX
@inproceedings{visualdnarepres-2023/8,
title={Visual DNA: representing and comparing images using distributions of neuron activations},
author={Ramtoula B, Gadd M, Newman P & De Martini D},
booktitle={IEEE / CVF Computer Vision and Pattern Recognition Conference (CVPR 2023)},
pages={11113-11123},
year = "2023"
}