Showing 50 publications by Matt Gadd
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"
}
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
BibTeX
@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
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"
}
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
BibTeX
@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"
}
OORD: the Oxford Offroad Radar Dataset
Gadd M, De Martini D, Bartlett O, Murcutt P, Towlson M et al. (2024), IEEE Transactions on Intelligent Transportation Systems, 25(11), 18779-18790
BibTeX
@article{oordtheoxfordof-2024/8,
title={OORD: the Oxford Offroad Radar Dataset},
author={Gadd M, De Martini D, Bartlett O, Murcutt P, Towlson M et al.},
journal={IEEE Transactions on Intelligent Transportation Systems},
volume={25},
pages={18779-18790},
publisher={IEEE},
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
BibTeX
@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)
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"
}
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"
}
SEM-GAT: explainable semantic pose estimation using learned graph attention
Panagiotaki E, De Martini D, Pramatarov G, Gadd M & Kunze L (2024), 367-374
BibTeX
@inproceedings{semgatexplainab-2024/2,
title={SEM-GAT: explainable semantic pose estimation using learned graph attention},
author={Panagiotaki E, De Martini D, Pramatarov G, Gadd M & Kunze L},
booktitle={21st International Conference on Advanced Robotics (ICAR 2023)},
pages={367-374},
year = "2024"
}
NeuralFloors: conditional street-level scene generation from BEV semantic maps via neural fields
Muat V, De Martini D, Gadd M & Newman P (2024), IEEE Robotics and Automation Letters, 9(3), 2431-2438
BibTeX
@article{neuralfloorscon-2024/1,
title={NeuralFloors: conditional street-level scene generation from BEV semantic maps via neural fields},
author={Muat V, De Martini D, Gadd M & Newman P},
journal={IEEE Robotics and Automation Letters},
volume={9},
pages={2431-2438},
publisher={IEEE},
year = "2024"
}
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"
}
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"
}
LROC-PANGU-GAN: closing the simulation gap in learning crater segmentation with planetary simulators
La J, Phadke J, Hutton M, Schwinning M, De Canio G et al. (2023), Proceedings of ASTRA 2023
BibTeX
@inproceedings{lrocpanguganclo-2023/10,
title={LROC-PANGU-GAN: closing the simulation gap in learning crater segmentation with planetary simulators},
author={La J, Phadke J, Hutton M, Schwinning M, De Canio G et al.},
booktitle={17th Symposium on Advanced Space Technologies in Robotics and Automation (ASTRA 2023)},
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"
}
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"
}
Contrastive learning for unsupervised radar place recognition
Gadd M, De Martini D & Newman P (2022), 2021 20th International Conference on Advanced Robotics (ICAR), 344-349
BibTeX
@inproceedings{contrastivelear-2022/1,
title={Contrastive learning for unsupervised radar place recognition},
author={Gadd M, De Martini D & Newman P},
booktitle={20th International Conference on Advanced Robotics (ICAR 2021)},
pages={344-349},
year = "2022"
}
The Oxford Road Boundaries Dataset
Suleymanov T, Gadd M, De Martini D & Newman P (2022)
BibTeX
@inproceedings{theoxfordroadbo-2022/1,
title={The Oxford Road Boundaries Dataset},
author={Suleymanov T, Gadd M, De Martini D & Newman P},
booktitle={32nd IEEE Intelligent Vehicles Symposium (IV21) -- Workshop on 3D-Deep Learning for Automated Driving (3D-DLAD)},
year = "2022"
}
Look Here: Learning Geometrically Consistent Refinement of Inverse-Depth Images for 3D Reconstruction
S??ftescu ??, Gadd M & Newman P (2021), International Journal of Pattern Recognition and Artificial Intelligence, 35(16), 2160015
BibTeX
@article{lookherelearnin-2021/12,
title={Look Here: Learning Geometrically Consistent Refinement of Inverse-Depth Images for 3D Reconstruction},
author={S??ftescu ??, Gadd M & Newman P},
journal={International Journal of Pattern Recognition and Artificial Intelligence},
volume={35},
pages={2160015},
publisher={World Scientific Publishing},
year = "2021"
}
BoxGraph: semantic place recognition and pose estimation from 3D LiDAR
Pramatarov G, De Martini D, Gadd M & Newman P (2021), 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 7004-7011
BibTeX
@inproceedings{boxgraphsemanti-2021/12,
title={BoxGraph: semantic place recognition and pose estimation from 3D LiDAR},
author={Pramatarov G, De Martini D, Gadd M & Newman P},
booktitle={2022 IEEE/RSJ International Conference on Intelligent Robots and Systems},
pages={7004-7011},
year = "2021"
}
Fool me once: robust selective segmentation via out-of-distribution detection with contrastive learning
Williams D, Gadd M, De Martini D & Newman P (2021), 2021 IEEE International Conference on Robotics and Automation (ICRA), 9536-9542
BibTeX
@inproceedings{foolmeoncerobus-2021/10,
title={Fool me once: robust selective segmentation via out-of-distribution detection with contrastive learning},
author={Williams D, Gadd M, De Martini D & Newman P},
booktitle={ICRA 2021},
pages={9536-9542},
year = "2021"
}
Unsupervised place recognition with deep embedding learning over radar videos
Gadd M, De Martini D & Newman P (2021)
BibTeX
@inproceedings{unsupervisedpla-2021/5,
title={Unsupervised place recognition with deep embedding learning over radar videos},
author={Gadd M, De Martini D & Newman P},
booktitle={2021 ICRA Workshop: Radar Perception for All-Weather Autonomy},
year = "2021"
}
Fool Me Once: Robust Selective Segmentation via Out-of-Distribution Detection with Contrastive Learning
Williams D, Gadd M, De Martini D & Newman P (2021)
BibTeX
@misc{foolmeoncerobus-2021/3,
title={Fool Me Once: Robust Selective Segmentation via Out-of-Distribution Detection with Contrastive Learning},
author={Williams D, Gadd M, De Martini D & Newman P},
year = "2021"
}
The hulk: design and development of a weather-proof vehicle for long-term autonomy in outdoor environments
Kyberd S, Attias J, Get P, Murcutt P, Prahacs C et al. (2021), International Conference on Field and Service Robotics (FSR), 16(2021), 101-114
BibTeX
@inproceedings{thehulkdesignan-2021/1,
title={The hulk: design and development of a weather-proof vehicle for long-term autonomy in outdoor environments},
author={Kyberd S, Attias J, Get P, Murcutt P, Prahacs C et al.},
pages={101-114},
year = "2021"
}
RSS-Net: weakly-supervised multi-class semantic segmentation with FMCW radar
Kaul P, De Martini D, Gadd M & Newman P (2021), Proceedings of the 2020 IEEE Intelligent Vehicles Symposium (IV2020)(2020), 431-436
BibTeX
@inproceedings{rssnetweaklysup-2021/1,
title={RSS-Net: weakly-supervised multi-class semantic segmentation with FMCW radar},
author={Kaul P, De Martini D, Gadd M & Newman P},
booktitle={IEEE Intelligent Vehicles Symposium (IV)},
pages={431-436},
year = "2021"
}
Sense-Assess-eXplain (SAX): building trust in autonomous vehicles in challenging real-world driving scenarios
Gadd M, De Martini D, Marchegiani M, Newman P & Kunze L (2021), Proceedings of the 2020 IEEE Intelligent Vehicles Symposium (IV), 150-155
BibTeX
@inproceedings{senseassessexpl-2021/1,
title={Sense-Assess-eXplain (SAX): building trust in autonomous vehicles in challenging real-world driving scenarios},
author={Gadd M, De Martini D, Marchegiani M, Newman P & Kunze L},
booktitle={IEEE Intelligent Vehicles Symposium (IV), Workshop on Ensuring and Validating Safety for Automated Vehicles (EVSAV)},
pages={150-155},
year = "2021"
}
On the road: route proposal from radar self-supervised by fuzzy LiDAR traversability
Broome M, Gadd M, De Martini D & Newman P (2020), AI, 1(4), 558-585
BibTeX
@article{ontheroadroutep-2020/12,
title={On the road: route proposal from radar self-supervised by fuzzy LiDAR traversability},
author={Broome M, Gadd M, De Martini D & Newman P},
journal={AI},
volume={1},
pages={558-585},
publisher={MDPI},
year = "2020"
}
Keep off the grass: permissible driving routes from radar with weak audio supervision
Williams D, De Martini D, Gadd M, Marchegiani M & Newman P (2020), Proceedings of the 2020 IEEE Intelligent Transportation Systems Conference (ITSC), 1-6
BibTeX
@inproceedings{keepoffthegrass-2020/12,
title={Keep off the grass: permissible driving routes from radar with weak audio supervision},
author={Williams D, De Martini D, Gadd M, Marchegiani M & Newman P},
booktitle={IEEE Intelligent Transportation Systems Conference (ITSC)},
pages={1-6},
year = "2020"
}
kRadar++: coarse-to-fine FMCW scanning radar localisation
De Martini D, Gadd M & Newman P (2020), Sensors, 20(21)
BibTeX
@article{kradarcoarsetof-2020/10,
title={kRadar++: coarse-to-fine FMCW scanning radar localisation},
author={De Martini D, Gadd M & Newman P},
journal={Sensors},
volume={20},
number={6002},
publisher={MDPI},
year = "2020"
}
Kidnapped radar: topological radar localisation using rotationally-invariant metric learning
GADD M, Schrodl , DE MARTINI D, Barnes D & NEWMAN P (2020), Proceedings of the 2020 IEEE International Conference on Robotics and Automation (ICRA)(2020), 4358-4364
BibTeX
@inproceedings{kidnappedradart-2020/9,
title={Kidnapped radar: topological radar localisation using rotationally-invariant metric learning},
author={GADD M, Schrodl , DE MARTINI D, Barnes D & NEWMAN P},
booktitle={IEEE International Conference on Robotics and Automation (ICRA)},
pages={4358-4364},
year = "2020"
}
LiDAR lateral localisation despite challenging occlusion from traffic
Suleymanov T, Gadd M, Kunze L & Newman P (2020), Proceedings of the IEEE/ION Position, Location and Navigation Symposium (PLANS)(2020), 334-341
BibTeX
@inproceedings{lidarlateralloc-2020/6,
title={LiDAR lateral localisation despite challenging occlusion from traffic},
author={Suleymanov T, Gadd M, Kunze L & Newman P},
booktitle={2020 IEEE/ION Position, Location and Navigation Symposium (PLANS)},
pages={334-341},
year = "2020"
}
Look around you: sequence-based radar place recognition with learned rotational invariance
Gadd M, De Martini D & Newman P (2020), Position Location and Navigation (PLANS), IEEE Symposium
BibTeX
@inproceedings{lookaroundyouse-2020/6,
title={Look around you: sequence-based radar place recognition with learned rotational invariance},
author={Gadd M, De Martini D & Newman P},
booktitle={IEEE/ION Position, Location and Navigation Symposium (PLANS) 2020},
year = "2020"
}
LiDAR Lateral Localisation Despite Challenging Occlusion from Traffic
Suleymanov T, Gadd M, Kunze L & Newman P (2020)
BibTeX
@misc{lidarlateralloc-2020/3,
title={LiDAR Lateral Localisation Despite Challenging Occlusion from Traffic},
author={Suleymanov T, Gadd M, Kunze L & Newman P},
year = "2020"
}
Real-time Kinematic Ground Truth for the Oxford RobotCar Dataset
Maddern W, Pascoe G, GADD M, Barnes D, Yeomans B et al. (2020)
BibTeX
@misc{realtimekinemat-2020/2,
title={Real-time Kinematic Ground Truth for the Oxford RobotCar Dataset},
author={Maddern W, Pascoe G, GADD M, Barnes D, Yeomans B et al.},
year = "2020"
}
Real-time Kinematic Ground Truth for the Oxford RobotCar Dataset
Maddern W, Pascoe G, Gadd M, Barnes D, Yeomans B et al. (2020)
BibTeX
@misc{realtimekinemat-2020/2,
title={Real-time Kinematic Ground Truth for the Oxford RobotCar Dataset},
author={Maddern W, Pascoe G, Gadd M, Barnes D, Yeomans B et al.},
year = "2020"
}
What could go wrong? Introspective radar odometry in challenging environments
Aldera R, De Martini D, Gadd M & Newman P (2019), 2019 IEEE Intelligent Transportation Systems Conference (ITSC), 2835-2842
BibTeX
@inproceedings{whatcouldgowron-2019/11,
title={What could go wrong? Introspective radar odometry in challenging environments},
author={Aldera R, De Martini D, Gadd M & Newman P},
pages={2835-2842},
year = "2019"
}
The Oxford Radar RobotCar Dataset: A Radar Extension to the Oxford RobotCar Dataset
Posner H, Newman P, Barnes D, Gadd M & Murcutt P (2019), arXiv Preprint arXiv: 1909.01300,2019
BibTeX
@inproceedings{theoxfordradarr-2019/9,
title={The Oxford Radar RobotCar Dataset: A Radar Extension to the Oxford RobotCar Dataset},
author={Posner H, Newman P, Barnes D, Gadd M & Murcutt P},
year = "2019"
}
The Oxford Radar RobotCar Dataset: A Radar Extension to the Oxford RobotCar Dataset
Barnes D, Gadd M, Murcutt P, Newman P & Posner I (2019)
BibTeX
@misc{theoxfordradarr-2019/9,
title={The Oxford Radar RobotCar Dataset: A Radar Extension to the Oxford RobotCar Dataset},
author={Barnes D, Gadd M, Murcutt P, Newman P & Posner I},
year = "2019"
}
Fast radar motion estimation with a learnt focus of attention using weak supervision
Aldera R, De Martini D, Gadd M & Newman P (2019), 2019 International Conference on Robotics and Automation (ICRA), 1190-1196
BibTeX
@inproceedings{fastradarmotion-2019/8,
title={Fast radar motion estimation with a learnt focus of attention using weak supervision},
author={Aldera R, De Martini D, Gadd M & Newman P},
pages={1190-1196},
year = "2019"
}
The 2016 UK Space Agency Mars Utah Rover Field Investigation (MURFI)
Balme MR, Curtis-Rouse MC, Banham S, Barnes D, Barnes R et al. (2019), Planetary and Space Science, 165, 31-56
BibTeX
@article{theukspaceagenc-2019/1,
title={The 2016 UK Space Agency Mars Utah Rover Field Investigation (MURFI)},
author={Balme MR, Curtis-Rouse MC, Banham S, Barnes D, Barnes R et al.},
journal={Planetary and Space Science},
volume={165},
pages={31-56},
publisher={Elsevier},
year = "2019"
}
The data market: Policies for decentralised visual localisation
Newman P & Gadd M (2018)
BibTeX
@misc{thedatamarketpo-2018/1,
title={The data market: Policies for decentralised visual localisation},
author={Newman P & Gadd M},
year = "2018"
}
The Data Market: Policies for Decentralised Visual Localisation
Gadd M & Newman P (2018)
BibTeX
@misc{thedatamarketpo-2018/1,
title={The Data Market: Policies for Decentralised Visual Localisation},
author={Gadd M & Newman P},
year = "2018"
}
MURFI 2016 ??? From cars to Mars: Applying autonomous vehicle navigation methods to a space rover mission
Yeomans B, Porav H, Gadd MS, Barnes D, Dequaire J et al. (2017), 14th Symposium on Advanced Space Technologies in Robotics and Automation (ASTRA 2017)
BibTeX
@inproceedings{murfifromcarsto-2017/7,
title={MURFI 2016 ??? From cars to Mars: Applying autonomous vehicle navigation methods to a space rover mission},
author={Yeomans B, Porav H, Gadd MS, Barnes D, Dequaire J et al.},
year = "2017"
}
Checkout my map: Version control for fleetwide visual localisation
Gadd MS & Newman P (2016), 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2016)
BibTeX
@inproceedings{checkoutmymapve-2016/12,
title={Checkout my map: Version control for fleetwide visual localisation},
author={Gadd MS & Newman P},
year = "2016"
}
A Framework for Infrastructure-Free Warehouse Navigation
Gadd M & Newman P (2015), 3271-3278
BibTeX
@inproceedings{aframeworkforin-2015/5,
title={A Framework for Infrastructure-Free Warehouse Navigation},
author={Gadd M & Newman P},
booktitle={2015 IEEE International Conference on Robotics and Automation (ICRA)},
pages={3271-3278},
year = "2015"
}
Open-RadVLAD: fast shift and rotation invariant radar place recognition
Gadd M & Newman P (0)
BibTeX
@inproceedings{openradvladfast-/,
title={Open-RadVLAD: fast shift and rotation invariant radar place recognition},
author={Gadd M & Newman P},
booktitle={2024 IEEE Radar Conference (RadarConf24)}
}
The Oxford Offroad Radar Dataset
GADD M, DE MARTINI D, NEWMAN P & KUNZE L (0)
BibTeX
@misc{theoxfordoffroa-/,
title={The Oxford Offroad Radar Dataset},
author={GADD M, DE MARTINI D, NEWMAN P & KUNZE L}
}
NeuralFloors++: consistent street-level scene generation from BEV semantic maps
Musat V, De Martini D, Gadd M & Newman P (0)
BibTeX
@inproceedings{neuralfloorscon-/,
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)}
}