Skip to main content
Menu
Professor Paul Newman

Professor

Paul Newman BA FIET FREng FIEEE

BP Professor of Information Engineering

Founder of Oxbotica

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.

Oxford Robotics Institute

Research Interests

  • Mobile Robotics
  • Computer Vision
  • ML
  • Navigation
  • Systems
  • Autonomous Vehicles

Research Groups

Recent Publications

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

Altmetric score is
BibTeX View PDF
@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"
}

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

Altmetric score is
BibTeX View PDF
@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"
}

Masked ??-SSL: learning uncertainty estimation via masked image modeling

Williams DSW, Gadd M, Newman P & De Martini D (2024), 2024 IEEE International Conference on Robotics and Automation (ICRA), 16192-16198

Altmetric score is
BibTeX View PDF
@inproceedings{maskedssllearni-2024/8,
  title={Masked ??-SSL: learning uncertainty estimation via masked image modeling},
  author={Williams DSW, Gadd M, Newman P & De Martini D},
  booktitle={2024 IEEE International Conference on Robotics and Automation (ICRA 2024)},
  pages={16192-16198},
  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

Altmetric score is
BibTeX View PDF
@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"
}

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), 2024 IEEE International Conference on Robotics and Automation (ICRA), 12276-12282

Altmetric score is
BibTeX View PDF
@inproceedings{thatsmypointcom-2024/8,
  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},
  booktitle={ 2024 IEEE International Conference on Robotics and Automation (ICRA 2024)},
  pages={12276-12282},
  year = "2024"
}

Mitigating distributional shift in semantic segmentation via uncertainty estimation from unlabeled data

Williams DSW, De Martini D, Gadd M & Newman P (2024), IEEE Transactions on Robotics, 40, 3146-3165

Altmetric score is
BibTeX View PDF
@article{mitigatingdistr-2024/5,
  title={Mitigating distributional shift in semantic segmentation via uncertainty estimation from unlabeled data},
  author={Williams DSW, De Martini D, Gadd M & Newman P},
  journal={IEEE Transactions on Robotics},
  volume={40},
  pages={3146-3165},
  publisher={IEEE},
  year = "2024"
}

Watching grass grow: long-term visual navigation and mission planning for autonomous biodiversity monitoring

Gadd M, De Martini D, Pitt L, Tubby W, Towlson M et al. (2024)

Altmetric score is
BibTeX
@misc{watchinggrassgr-2024/5,
  title={Watching grass grow: long-term visual navigation and mission planning for autonomous biodiversity monitoring},
  author={Gadd M, De Martini D, Pitt L, Tubby W, Towlson M et al.},
  year = "2024"
}

VDNA-PR: Using General Dataset Representations for Robust Sequential Visual Place Recognition

Ramtoula B, De Martini D, Gadd M & Newman P (2024)

Altmetric score is
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)

Altmetric score is
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)

Altmetric score is
BibTeX View PDF
@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"
}
View all