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
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"
}
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
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},
publisher={Elsevier},
year = "2023"
}
Off the Radar: Uncertainty-Aware Radar Place Recognition with Introspective Querying and Map Maintenance
Yuan J, Newman P & Gadd M (2023), 00, 1350-1357
BibTeX
@inproceedings{offtheradarunce-2023/10,
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)},
pages={1350-1357},
year = "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"
}
Point-based metric and topological localisation between lidar and overhead imagery
Tang TY, De Martini D & Newman P (2023), AUTONOMOUS ROBOTS
BibTeX
@article{pointbasedmetri-2023/1,
title={Point-based metric and topological localisation between lidar and overhead imagery},
author={Tang TY, De Martini D & Newman P},
journal={AUTONOMOUS ROBOTS},
year = "2023"
}
Listening for Sirens: Locating and Classifying Acoustic Alarms in City Scenes
Marchegiani L & Newman P (2022), IEEE Transactions on Intelligent Transportation Systems, 23(10), 17087-17096
BibTeX
@article{listeningforsir-2022/10,
title={Listening for Sirens: Locating and Classifying Acoustic Alarms in City Scenes},
author={Marchegiani L & Newman P},
journal={IEEE Transactions on Intelligent Transportation Systems},
volume={23},
pages={17087-17096},
year = "2022"
}
Listening for Sirens: Locating and Classifying Acoustic Alarms in City Scenes
Marchegiani L & Newman P (2022), IEEE Transactions on Intelligent Transportation Systems, 23(10), 17087-17096
BibTeX
@article{listeningforsir-2022/10,
title={Listening for Sirens: Locating and Classifying Acoustic Alarms in City Scenes},
author={Marchegiani L & Newman P},
journal={IEEE Transactions on Intelligent Transportation Systems},
volume={23},
pages={17087-17096},
year = "2022"
}
Depth-SIMS: semi-parametric image and depth synthesis
Musat V, De Martini D, Gadd M & Newman P (2022), 2022 International Conference on Robotics and Automation (ICRA), 2388-2394
BibTeX
@inproceedings{depthsimssemipa-2022/7,
title={Depth-SIMS: semi-parametric image and depth synthesis},
author={Musat V, De Martini D, Gadd M & Newman P},
booktitle={ International Conference on Robotics and Automation (ICRA 2022)},
pages={2388-2394},
year = "2022"
}
Fast-MbyM: leveraging translational invariance of the fourier transform for efficient and accurate radar odometry
Weston R, Gadd M, De Martini D, Newman P & Posner H (2022), Proceedings of the IEEE International Conference on Robotics and Automation (ICRA 2022), 2186-2192
BibTeX
@inproceedings{fastmbymleverag-2022/7,
title={Fast-MbyM: leveraging translational invariance of the fourier transform for efficient and accurate radar odometry},
author={Weston R, Gadd M, De Martini D, Newman P & Posner H},
booktitle={IEEE International Conference on Robotics and Automation (ICRA 2022)},
pages={2186-2192},
year = "2022"
}
What goes around: leveraging a constant-curvature motion constraint in radar odometry
Aldera R, Gadd M, De Martini D & Newman P (2022), IEEE Robotics and Automation Letters, 7(3), 7865-7872
BibTeX
@article{whatgoesaroundl-2022/6,
title={What goes around: leveraging a constant-curvature motion constraint in radar odometry},
author={Aldera R, Gadd M, De Martini D & Newman P},
journal={IEEE Robotics and Automation Letters},
volume={7},
pages={7865-7872},
publisher={IEEE},
year = "2022"
}
