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Showing 89 publications by Ingmar Posner

First steps: latent-space control with semantic constraints for quadruped locomotion

Mitchell A et al. (2021), Proceedings of the IEEE International Workshop on Intelligent Robots and Systems (IROS), 5343-5350

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@inproceedings{firststepslaten-2021/2,
  title={First steps: latent-space control with semantic constraints for quadruped locomotion},
  author={Mitchell A et al.},
  booktitle={IROS 2020},
  pages={5343-5350},
  year = "2021"
}

Iterative SE(3)-Transformers

Fuchs FB, Wagstaff E, Dauparas J & Posner I (2021), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 12829 LNCS, 585-595

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@inproceedings{iterativesetran-2021/1,
  title={Iterative SE(3)-Transformers},
  author={Fuchs FB, Wagstaff E, Dauparas J & Posner I},
  pages={585-595},
  year = "2021"
}

RELATE: physically plausible multi-object scene synthesis using structured latent spaces

Ehrhardt S et al. (2020), NIPS Proceedings, 33

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BibTeX
@inproceedings{relatephysicall-2020/12,
  title={RELATE: physically plausible multi-object scene synthesis using structured latent spaces},
  author={Ehrhardt S et al.},
  booktitle={NeurIPS 2020},
  year = "2020"
}

Attention-privileged reinforcement learning

Salter S et al. (2020), Proceedings of the Conference on Robot Learning 2020(2020)

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@inproceedings{attentionprivil-2020/11,
  title={Attention-privileged reinforcement learning},
  author={Salter S et al.},
  booktitle={Conference of Robotic Learning},
  year = "2020"
}

Under the radar: learning to predict robust keypoints for odometry estimation and metric localisation in radar

Barnes D & Posner H (2020), Proceedings of the 2020 IEEE International Conference on Robotics and Automation (ICRA), 9484-9490

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@inproceedings{undertheradarle-2020/9,
  title={Under the radar: learning to predict robust keypoints for odometry estimation and metric localisation in radar},
  author={Barnes D & Posner H},
  booktitle={International Conference on Robotics and Automation 2020},
  pages={9484-9490},
  year = "2020"
}

Reconstruction bottlenecks in object-centric generative models

Engelcke M, Posner H & Parker Jones O (2020)

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BibTeX
@inproceedings{reconstructionb-2020/7,
  title={Reconstruction bottlenecks in object-centric generative models},
  author={Engelcke M, Posner H & Parker Jones O},
  booktitle={Workshop on Object-Oriented Learning at ICML 2020},
  year = "2020"
}

Learning affordances in object-centric generative models

Wu Y et al. (2020)

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BibTeX
@inproceedings{learningafforda-2020/7,
  title={Learning affordances in object-centric generative models},
  author={Wu Y et al.},
  booktitle={Workshop on Object-Oriented Learning at ICML 2020},
  year = "2020"
}

Robots thinking fast and slow: on dual process theory and metacognition in embodied AI

Posner H (2020)

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@inproceedings{robotsthinkingf-2020/6,
  title={Robots thinking fast and slow: on dual process theory and metacognition in embodied AI},
  author={Posner H},
  booktitle={RSS Workshop on Robotics Retrospectives},
  year = "2020"
}

Localising Faster: Efficient and precise lidar-based robot localisation in large-scale environments

Sun L et al. (2020), Proceedings - IEEE International Conference on Robotics and Automation, 4386-4392

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@inproceedings{localisingfaste-2020/5,
  title={Localising Faster: Efficient and precise lidar-based robot localisation in large-scale environments},
  author={Sun L et al.},
  pages={4386-4392},
  year = "2020"
}

GENESIS: Generative Scene Inference and Sampling of Object-Centric Latent Representations

Engelcke M et al. (2020), Proceedings of the ICLR 2020

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@inproceedings{genesisgenerati-2020/3,
  title={GENESIS: Generative Scene Inference and Sampling of Object-Centric Latent Representations},
  author={Engelcke M et al.},
  booktitle={International Conference on Learning Representations 2020 (ICLR)},
  year = "2020"
}

Masking by Moving: Learning Distraction-Free Radar Odometry from Pose Information

POSNER H, Barnes D & Weston R (2019), arXiv:1909.03752v3

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BibTeX
@article{maskingbymoving-2019/9,
  title={Masking by Moving: Learning Distraction-Free Radar Odometry from Pose Information},
  author={POSNER H, Barnes D & Weston R},
  journal={arXiv:1909.03752v3},
  year = "2019"
}

Scrutinizing and de-biasing intuitive physics with neural stethoscopes

Fuchs FB et al. (2019), British Machine Vision Conference (BMVC), 2019

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@inproceedings{scrutinizingand-2019/9,
  title={Scrutinizing and de-biasing intuitive physics with neural stethoscopes},
  author={Fuchs FB et al.},
  year = "2019"
}

The Oxford Radar RobotCar Dataset: A Radar Extension to the Oxford RobotCar Dataset

Posner H et al. (2019), arXiv Preprint arXiv: 1909.01300,2019

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@inproceedings{theoxfordradarr-2019/9,
  title={The Oxford Radar RobotCar Dataset: A Radar Extension to the Oxford RobotCar Dataset},
  author={Posner H et al.},
  year = "2019"
}

Probably unknown: Deep inverse sensor modelling radar

Weston R et al. (2019), International Conference on Robotics and Automation 2019 (ICRA 2019), 5446-5452

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@inproceedings{probablyunknown-2019/8,
  title={Probably unknown: Deep inverse sensor modelling radar},
  author={Weston R et al.},
  pages={5446-5452},
  year = "2019"
}

END-TO-END RECURRENT MULTI-OBJECT TRACKING AND TRAJECTORY PREDICTION WITH RELATIONAL REASONING

Posner H et al. (2019), arXiv:1907.12887v3

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BibTeX
@article{endtoendrecurre-2019/7,
  title={END-TO-END RECURRENT MULTI-OBJECT TRACKING AND TRAJECTORY PREDICTION WITH RELATIONAL REASONING},
  author={Posner H et al.},
  journal={arXiv:1907.12887v3},
  year = "2019"
}

GENESIS: Generative Scene Inference and Sampling of Object-Centric Latent Representations

POSNER H et al. (2019), arXiv:1907.13052v2

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BibTeX
@article{genesisgenerati-2019/7,
  title={GENESIS: Generative Scene Inference and Sampling of Object-Centric Latent Representations},
  author={POSNER H et al.},
  journal={arXiv:1907.13052v2},
  year = "2019"
}

On the limitations of representing functions on sets

Wagstaff E et al. (2019), Proceedings of Machine Learning Research, 97, 6487-6494

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@inproceedings{onthelimitation-2019/6,
  title={On the limitations of representing functions on sets},
  author={Wagstaff E et al.},
  pages={6487-6494},
  year = "2019"
}

Long-term driving behaviour modelling for driver identification

Marchegiani L & Posner HI (2018), 21st IEEE International Conference on Intelligent Transportation Systems (ITSC 2018)

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@inproceedings{longtermdriving-2018/12,
  title={Long-term driving behaviour modelling for driver identification},
  author={Marchegiani L & Posner HI},
  year = "2018"
}

Driven to distraction: Self-supervised distractor learning for robust monocular visual odometry in urban environments

Barnes D et al. (2018), International Conference on Robotics and Automation (ICRA 2018)

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@inproceedings{driventodistrac-2018/9,
  title={Driven to distraction: Self-supervised distractor learning for robust monocular visual odometry in urban environments},
  author={Barnes D et al.},
  year = "2018"
}

Hierarchical attentive recurrent tracking

Kosiorek AR, Bewley A & Posner H (2018), 30th Neural Information Processing Systems (NIPS 2017)

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@inproceedings{hierarchicalatt-2018/7,
  title={Hierarchical attentive recurrent tracking},
  author={Kosiorek AR, Bewley A & Posner H},
  year = "2018"
}

TACO: Learning task decomposition via temporal alignment for control

Shiarlis K et al. (2018), International Conference on Machine Learning

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@inproceedings{tacolearningtas-2018/7,
  title={TACO: Learning task decomposition via temporal alignment for control},
  author={Shiarlis K et al.},
  year = "2018"
}

Off the beaten track: predicting localisation performance in visual teach and repeat

Dequaire J et al. (2018), IEEE International Conference on Robotics and Automation (ICRA), 795-800

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@inproceedings{offthebeatentra-2018/6,
  title={Off the beaten track: predicting localisation performance in visual teach and repeat},
  author={Dequaire J et al.},
  pages={795-800},
  year = "2018"
}

Resource-performance trade-off analysis for mobile robots

Lahijanian M et al. (2018), IEEE Robotics and Automation Letters, 3(3), 1840-1847

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@article{resourceperform-2018/2,
  title={Resource-performance trade-off analysis for mobile robots},
  author={Lahijanian M et al.},
  journal={IEEE Robotics and Automation Letters},
  volume={3},
  pages={1840-1847},
  publisher={IEEE},
  year = "2018"
}

TACO: Learning Task Decomposition via Temporal Alignment for Control.

Shiarlis K et al. (2018), CoRR

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@article{tacolearningtas-2018/1,
  title={TACO: Learning Task Decomposition via Temporal Alignment for Control.},
  author={Shiarlis K et al.},
  journal={CoRR},
  year = "2018"
}

ShapeStacks: Learning Vision-Based Physical Intuition for Generalised Object Stacking

Groth O et al. (2018), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 11205 LNCS, 724-739

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@inproceedings{shapestackslear-2018/1,
  title={ShapeStacks: Learning Vision-Based Physical Intuition for Generalised Object Stacking},
  author={Groth O et al.},
  booktitle={Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)},
  pages={724-739},
  year = "2018"
}

Dropout distillation for efficiently estimating model confidence

Gurau C, Bewley A & Posner HI (2018), arXiv

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BibTeX
@article{dropoutdistilla-2018/1,
  title={Dropout distillation for efficiently estimating model confidence},
  author={Gurau C, Bewley A & Posner HI},
  journal={arXiv},
  year = "2018"
}

Neural stethoscopes: Unifying analytic, auxiliary and adversarial network probing

Fuchs FB et al. (2018), arXiv

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BibTeX
@article{neuralstethosco-2018/1,
  title={Neural stethoscopes: Unifying analytic, auxiliary and adversarial network probing},
  author={Fuchs FB et al.},
  journal={arXiv},
  year = "2018"
}

Incremental Adversarial Domain Adaptation for Continually Changing Environments

Wulfmeier M et al. (2018), 2018 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION (ICRA), 4489-4495

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@inproceedings{incrementaladve-2018/,
  title={Incremental Adversarial Domain Adaptation for Continually Changing Environments},
  author={Wulfmeier M et al.},
  booktitle={2018 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION (ICRA)},
  pages={4489-4495},
  year = "2018"
}

What makes a place? Building bespoke place dependent object detectors

Hawke J, Bewley A & Posner HI (2017), IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2017)

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@inproceedings{whatmakesaplace-2017/12,
  title={What makes a place? Building bespoke place dependent object detectors},
  author={Hawke J, Bewley A & Posner HI},
  year = "2017"
}

Addressing appearance change in outdoor robotics with adversarial domain adaptation

Wulfeier M, Bewley A & Posner HI (2017), IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2017)

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@inproceedings{addressingappea-2017/12,
  title={Addressing appearance change in outdoor robotics with adversarial domain adaptation},
  author={Wulfeier M, Bewley A & Posner HI},
  year = "2017"
}

Bayesian Delay Embeddings for Dynamical Systems

Dhir N, Kosiorek A & Posner H (2017), 31st Conference on Neural Information Processing Systems (NIPS 2017), Long Beach, CA, USA.

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@inproceedings{bayesiandelayem-2017/11,
  title={Bayesian Delay Embeddings for Dynamical Systems},
  author={Dhir N, Kosiorek A & Posner H},
  year = "2017"
}

Mutual alignment transfer learning

Wulfmeier MR, Posner HI & Abbeel P (2017), 1st Conference on Robot Learning (CoRL 2017)

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@inproceedings{mutualalignment-2017/10,
  title={Mutual alignment transfer learning},
  author={Wulfmeier MR, Posner HI & Abbeel P},
  year = "2017"
}

Learn from experience: probabilistic prediction of perception performance to avoid failure

Gurău C et al. (2017), The International Journal of Robotics Research, 027836491773060-027836491773060

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@article{learnfromexperi-2017/10,
  title={Learn from experience: probabilistic prediction of perception performance to avoid failure},
  author={Gurău C et al.},
  journal={The International Journal of Robotics Research},
  pages={027836491773060-027836491773060},
  year = "2017"
}

Large-scale cost function learning for path planning using deep inverse reinforcement learning

Wulfmeier M et al. (2017), INTERNATIONAL JOURNAL OF ROBOTICS RESEARCH, 36(10), 1073-1087

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@article{largescalecostf-2017/9,
  title={Large-scale cost function learning for path planning using deep inverse reinforcement learning},
  author={Wulfmeier M et al.},
  journal={INTERNATIONAL JOURNAL OF ROBOTICS RESEARCH},
  volume={36},
  pages={1073-1087},
  year = "2017"
}

Vote3Deep: Fast object detection in 3D point clouds using efficient convolutional neural networks

Engelcke M et al. (2017), Proceedings - IEEE International Conference on Robotics and Automation, 1355-1361

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@inproceedings{votedeepfastobj-2017/7,
  title={Vote3Deep: Fast object detection in 3D point clouds using efficient convolutional neural networks},
  author={Engelcke M et al.},
  booktitle={Conference on Robotics and Automation (ICRA)},
  pages={1355-1361},
  year = "2017"
}

Leveraging the urban soundscape: Auditory perception for smart vehicles

Marchegiani L & Posner I (2017), Proceedings - IEEE International Conference on Robotics and Automation, 6547-6554

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@inproceedings{leveragingtheur-2017/7,
  title={Leveraging the urban soundscape: Auditory perception for smart vehicles},
  author={Marchegiani L & Posner I},
  booktitle={Conference on Robotics and Automation},
  pages={6547-6554},
  year = "2017"
}

Find your own way: Weakly-supervised segmentation of path proposals for urban autonomy

Barnes D, Maddern W & Posner I (2017), Proceedings - IEEE International Conference on Robotics and Automation, 203-210

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@inproceedings{findyourownwayw-2017/7,
  title={Find your own way: Weakly-supervised segmentation of path proposals for urban autonomy},
  author={Barnes D, Maddern W & Posner I},
  booktitle={Conference on Robotics and Automation},
  pages={203-210},
  year = "2017"
}

Deep tracking in the wild: End-to-end tracking using recurrent neural networks

Dequaire J et al. (2017), The International Journal of Robotics Research, 027836491771054-027836491771054

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@article{deeptrackingint-2017/6,
  title={Deep tracking in the wild: End-to-end tracking using recurrent neural networks},
  author={Dequaire J et al.},
  journal={The International Journal of Robotics Research},
  pages={027836491771054-027836491771054},
  year = "2017"
}

Fit for purpose? Predicting perception performance based on past experience

Gurau C, Tong H & Posner H (2017), International Symposium on Experimental Robotics (ISER)

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@inproceedings{fitforpurposepr-2017/3,
  title={Fit for purpose? Predicting perception performance based on past experience},
  author={Gurau C, Tong H & Posner H},
  year = "2017"
}

Enabling intelligent energy management for robots using publicly available maps

Bartlett O et al. (2016), IROS 2016: IEEE/RSJ International Conference on Intelligent Robots and Systems, 2224-2229

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@inproceedings{enablingintelli-2016/12,
  title={Enabling intelligent energy management for robots using publicly available maps},
  author={Bartlett O et al.},
  pages={2224-2229},
  year = "2016"
}

Automated valet parking and charging for e-mobility

Schwesinger U et al. (2016), 2016 IEEE Intelligent Vehicles Symposium (IV), 157-164

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@inproceedings{automatedvaletp-2016/8,
  title={Automated valet parking and charging for e-mobility},
  author={Schwesinger U et al.},
  pages={157-164},
  year = "2016"
}

Introspective classification for robot perception

Grimmett H et al. (2016), INTERNATIONAL JOURNAL OF ROBOTICS RESEARCH, 35(7), 743-762

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@article{introspectivecl-2016/6,
  title={Introspective classification for robot perception},
  author={Grimmett H et al.},
  journal={INTERNATIONAL JOURNAL OF ROBOTICS RESEARCH},
  volume={35},
  pages={743-762},
  year = "2016"
}

End-to-end tracking and semantic segmentation using recurrent neural networks

Ondruska P et al. (2016), Robotics Science and Systems 2016, Workshop on Limits and Potentials of Deep Learning in Robotics

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@inproceedings{endtoendtrackin-2016/6,
  title={End-to-end tracking and semantic segmentation using recurrent neural networks},
  author={Ondruska P et al.},
  year = "2016"
}

Erratum: Introspective Classification for Robot Perception (International Journal of Robotics Research (2016) 35 (743-762) DOI: 10.1177/0278364915587924)

Grimmett H et al. (2016), International Journal of Robotics Research, 35(7), 763-766

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@article{erratumintrospe-2016/6,
  title={Erratum: Introspective Classification for Robot Perception (International Journal of Robotics Research (2016) 35 (743-762) DOI: 10.1177/0278364915587924)},
  author={Grimmett H et al.},
  journal={International Journal of Robotics Research},
  volume={35},
  pages={763-766},
  year = "2016"
}

Choosing a time and place for calibration of lidar-camera systems

Scott T et al. (2016), Proceedings - IEEE International Conference on Robotics and Automation, 2016-June, 4349-4356

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@inproceedings{choosingatimean-2016/6,
  title={Choosing a time and place for calibration of lidar-camera systems},
  author={Scott T et al.},
  booktitle={Conference on Robotics and Automation},
  pages={4349-4356},
  year = "2016"
}

Wrong Today, Right Tomorrow: Experience-Based Classification for Robot Perception

Hawke J et al. (2016), FIELD AND SERVICE ROBOTICS: RESULTS OF THE 10TH INTERNATIONAL CONFERENCE, 113, 173-186

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@inproceedings{wrongtodayright-2016/,
  title={Wrong Today, Right Tomorrow: Experience-Based Classification for Robot Perception},
  author={Hawke J et al.},
  pages={173-186},
  year = "2016"
}

Driven Learning for Driving: How Introspection Improves Semantic Mapping

Triebel R et al. (2016), ROBOTICS RESEARCH, ISRR, 114, 449-465

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@inproceedings{drivenlearningf-2016/,
  title={Driven Learning for Driving: How Introspection Improves Semantic Mapping},
  author={Triebel R et al.},
  pages={449-465},
  year = "2016"
}

Automated Valet Parking and Charging for e-Mobility

Schwesinger U et al. (2016), 2016 IEEE INTELLIGENT VEHICLES SYMPOSIUM (IV), 157-164

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BibTeX
@inproceedings{automatedvaletp-2016/,
  title={Automated Valet Parking and Charging for e-Mobility},
  author={Schwesinger U et al.},
  pages={157-164},
  year = "2016"
}

Watch This: Scalable Cost-Function Learning for Path Planning in Urban Environments

Wulfmeier M et al. (2016), 2016 IEEE/RSJ INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS (IROS 2016), 2089-2095

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@inproceedings{watchthisscalab-2016/,
  title={Watch This: Scalable Cost-Function Learning for Path Planning in Urban Environments},
  author={Wulfmeier M et al.},
  pages={2089-2095},
  year = "2016"
}

Deep Tracking: Seeing Beyond Seeing Using Recurrent Neural Networks

Ondruska P, Posner I & AAAI (2016), THIRTIETH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE, 3361-3367

Altmetric score is
BibTeX
@inproceedings{deeptrackingsee-2016/,
  title={Deep Tracking: Seeing Beyond Seeing Using Recurrent Neural Networks},
  author={Ondruska P, Posner I & AAAI },
  pages={3361-3367},
  year = "2016"
}

A New Approach to Model-Free Tracking with 2D Lidar

Wang DZ, Posner I & Newman P (2016), ROBOTICS RESEARCH, ISRR, 114, 557-573

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@inproceedings{anewapproachtom-2016/,
  title={A New Approach to Model-Free Tracking with 2D Lidar},
  author={Wang DZ, Posner I & Newman P},
  pages={557-573},
  year = "2016"
}

Exploiting known unknowns: Scene induced cross-calibration of lidar-stereo systems

Scott T et al. (2015), IEEE International Conference on Intelligent Robots and Systems, 2015-December, 3647-3653

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@inproceedings{exploitingknown-2015/12,
  title={Exploiting known unknowns: Scene induced cross-calibration of lidar-stereo systems},
  author={Scott T et al.},
  pages={3647-3653},
  year = "2015"
}

Reading the Road: Road Marking Classification and Interpretation

Mathibela B, Newman P & Posner I (2015), IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 16(4), 2072-2081

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@article{readingtheroadr-2015/8,
  title={Reading the Road: Road Marking Classification and Interpretation},
  author={Mathibela B, Newman P & Posner I},
  journal={IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS},
  volume={16},
  pages={2072-2081},
  year = "2015"
}

Model-free detection and tracking of dynamic objects with 2D lidar

Wang DZ, Posner I & Newman P (2015), INTERNATIONAL JOURNAL OF ROBOTICS RESEARCH, 34(7), 1039-1063

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@article{modelfreedetect-2015/6,
  title={Model-free detection and tracking of dynamic objects with 2D lidar},
  author={Wang DZ, Posner I & Newman P},
  journal={INTERNATIONAL JOURNAL OF ROBOTICS RESEARCH},
  volume={34},
  pages={1039-1063},
  year = "2015"
}

Scheduled Perception for Energy-Efficient Path Following

Ondruska P et al. (2015), 2015 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION (ICRA), 4799-4806

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BibTeX
@inproceedings{scheduledpercep-2015/,
  title={Scheduled Perception for Energy-Efficient Path Following},
  author={Ondruska P et al.},
  pages={4799-4806},
  year = "2015"
}

Learning to Assess Terrain from Human Demonstration Using an Introspective Gaussian-Process Classifier

Berczi L-P et al. (2015), 2015 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION (ICRA), 3178-3185

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@inproceedings{learningtoasses-2015/,
  title={Learning to Assess Terrain from Human Demonstration Using an Introspective Gaussian-Process Classifier},
  author={Berczi L-P et al.},
  pages={3178-3185},
  year = "2015"
}

Exploiting 3D Semantic Scene Priors for Online Traffic Light Interpretation

Barnes D et al. (2015), 2015 IEEE INTELLIGENT VEHICLES SYMPOSIUM (IV), 573-578

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BibTeX
@inproceedings{exploitingdsema-2015/,
  title={Exploiting 3D Semantic Scene Priors for Online Traffic Light Interpretation},
  author={Barnes D et al.},
  pages={573-578},
  year = "2015"
}

Voting for Voting in Online Point Cloud Object Detection

Wang DL & Posner I (2015), ROBOTICS: SCIENCE AND SYSTEMS XI

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BibTeX
@inproceedings{votingforvoting-2015/,
  title={Voting for Voting in Online Point Cloud Object Detection},
  author={Wang DL & Posner I},
  year = "2015"
}

From Dusk till Dawn: Localisation at Night using Artificial Light Sources

Nelson P et al. (2015), 2015 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION (ICRA), 5245-5252

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@inproceedings{fromdusktilldaw-2015/,
  title={From Dusk till Dawn: Localisation at Night using Artificial Light Sources},
  author={Nelson P et al.},
  pages={5245-5252},
  year = "2015"
}

Know Your Limits: Embedding Localiser Performance Models in Teach and Repeat Maps

Churchill W et al. (2015), 2015 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION (ICRA), 4238-4244

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BibTeX
@inproceedings{knowyourlimitse-2015/,
  title={Know Your Limits: Embedding Localiser Performance Models in Teach and Repeat Maps},
  author={Churchill W et al.},
  pages={4238-4244},
  year = "2015"
}

Integrating Metric and Semantic Maps for Vision-Only Automated Parking

Grimmett H et al. (2015), 2015 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION (ICRA), 2159-2166

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BibTeX
@inproceedings{integratingmetr-2015/,
  title={Integrating Metric and Semantic Maps for Vision-Only Automated Parking},
  author={Grimmett H et al.},
  pages={2159-2166},
  year = "2015"
}

Probabilistic Attainability Maps: Efficiently Predicting Driver-Specific Electric Vehicle Range

Ondruska P, Posner I & IEEE (2014), 2014 IEEE INTELLIGENT VEHICLES SYMPOSIUM PROCEEDINGS, 1169-1174

Altmetric score is
BibTeX
@inproceedings{probabilisticat-2014/,
  title={Probabilistic Attainability Maps: Efficiently Predicting Driver-Specific Electric Vehicle Range},
  author={Ondruska P, Posner I & IEEE },
  pages={1169-1174},
  year = "2014"
}

The Route Not Taken: Driver-Centric Estimation of Electric Vehicle Range

Ondruska P, Posner I & Intelligence AAA (2014), TWENTY-FOURTH INTERNATIONAL CONFERENCE ON AUTOMATED PLANNING AND SCHEDULING, 413-420

Altmetric score is
BibTeX
@inproceedings{theroutenottake-2014/,
  title={The Route Not Taken: Driver-Centric Estimation of Electric Vehicle Range},
  author={Ondruska P, Posner I & Intelligence AAA},
  pages={413-420},
  year = "2014"
}

Toward automated driving in cities using close-to-market sensors: An overview of the V-Charge Project

Furgale P et al. (2013), IEEE Intelligent Vehicles Symposium, Proceedings, 809-816

Altmetric score is
BibTeX View PDF
@inproceedings{towardautomated-2013/12,
  title={Toward automated driving in cities using close-to-market sensors: An overview of the V-Charge Project},
  author={Furgale P et al.},
  pages={809-816},
  year = "2013"
}

A roadwork scene signature based on the opponent colour model

Mathibela B, Posner I & Newman P (2013), IEEE International Conference on Intelligent Robots and Systems, 4394-4400

Altmetric score is
BibTeX View PDF
@inproceedings{aroadworkscenes-2013/12,
  title={A roadwork scene signature based on the opponent colour model},
  author={Mathibela B, Posner I & Newman P},
  pages={4394-4400},
  year = "2013"
}

Knowing when we don't know: Introspective classification for mission-critical decision making

Grimmett H et al. (2013), Proceedings - IEEE International Conference on Robotics and Automation, 4531-4538

Altmetric score is
BibTeX View PDF
@inproceedings{knowingwhenwedo-2013/11,
  title={Knowing when we don't know: Introspective classification for mission-critical decision making},
  author={Grimmett H et al.},
  pages={4531-4538},
  year = "2013"
}

Can priors be trusted? Learning to anticipate roadworks

Mathibela B et al. (2012), IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC, 927-932

Altmetric score is
BibTeX View PDF
@article{canpriorsbetrus-2012/12,
  title={Can priors be trusted? Learning to anticipate roadworks},
  author={Mathibela B et al.},
  journal={IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC},
  pages={927-932},
  year = "2012"
}

What could move? Finding cars, pedestrians and bicyclists in 3D laser data

Wang DZ, Posner I & Newman P (2012), Proceedings - IEEE International Conference on Robotics and Automation, 4038-4044

Altmetric score is
BibTeX View PDF
@article{whatcouldmovefi-2012/1,
  title={What could move? Finding cars, pedestrians and bicyclists in 3D laser data},
  author={Wang DZ, Posner I & Newman P},
  journal={Proceedings - IEEE International Conference on Robotics and Automation},
  pages={4038-4044},
  year = "2012"
}

Modelling Observation Correlations for Active Exploration and Robust Object Detection

Velez J et al. (2012), JOURNAL OF ARTIFICIAL INTELLIGENCE RESEARCH, 44, 423-453

Altmetric score is
BibTeX View PDF
@article{modellingobserv-2012/,
  title={Modelling Observation Correlations for Active Exploration and Robust Object Detection},
  author={Velez J et al.},
  journal={JOURNAL OF ARTIFICIAL INTELLIGENCE RESEARCH},
  volume={44},
  pages={423-453},
  year = "2012"
}

Active exploration for robust object detection

Velez J et al. (2011), IJCAI International Joint Conference on Artificial Intelligence, 2752-2757

Altmetric score is
BibTeX View PDF
@article{activeexplorati-2011/12,
  title={Active exploration for robust object detection},
  author={Velez J et al.},
  journal={IJCAI International Joint Conference on Artificial Intelligence},
  pages={2752-2757},
  year = "2011"
}

Adaptive data compression for robot perception

Smith M, Posner I & Newman P (2011), IJCAI International Joint Conference on Artificial Intelligence, 2746-2751

Altmetric score is
BibTeX View PDF
@article{adaptivedatacom-2011/12,
  title={Adaptive data compression for robot perception},
  author={Smith M, Posner I & Newman P},
  journal={IJCAI International Joint Conference on Artificial Intelligence},
  pages={2746-2751},
  year = "2011"
}

Planning to perceive: Exploiting mobility for robust object detection

Velez J et al. (2011), ICAPS 2011 - Proceedings of the 21st International Conference on Automated Planning and Scheduling, 266-273

Altmetric score is
BibTeX
@article{planningtoperce-2011/10,
  title={Planning to perceive: Exploiting mobility for robust object detection},
  author={Velez J et al.},
  journal={ICAPS 2011 - Proceedings of the 21st International Conference on Automated Planning and Scheduling},
  pages={266-273},
  year = "2011"
}

Adaptive compression for 3D laser data

Smith M, Posner I & Newman P (2011), International Journal of Robotics Research, 30(7), 914-935

Altmetric score is
BibTeX View PDF
@inproceedings{adaptivecompres-2011/6,
  title={Adaptive compression for 3D laser data},
  author={Smith M, Posner I & Newman P},
  pages={914-935},
  year = "2011"
}

Efficient non-parametric surface representations using active sampling for push broom laser data

Smith M, Posner I & Newman P (2011), Robotics: Science and Systems, 6, 209-216

Altmetric score is
BibTeX View PDF
@inproceedings{efficientnonpar-2011/1,
  title={Efficient non-parametric surface representations using active sampling for push broom laser data},
  author={Smith M, Posner I & Newman P},
  pages={209-216},
  year = "2011"
}

Using text-spotting to query the world

Posner I, Corke P & Newman P (2010), IEEE/RSJ 2010 International Conference on Intelligent Robots and Systems, IROS 2010 - Conference Proceedings, 3181-3186

Altmetric score is
BibTeX View PDF
@inproceedings{usingtextspotti-2010/12,
  title={Using text-spotting to query the world},
  author={Posner I, Corke P & Newman P},
  pages={3181-3186},
  year = "2010"
}

Describing, navigating and recognising urban spaces - Building an end-to-end SLAM system

Newman P et al. (2010), Springer Tracts in Advanced Robotics, 66(STAR), 237-253

Altmetric score is
BibTeX View PDF
@inproceedings{describingnavig-2010/1,
  title={Describing, navigating and recognising urban spaces - Building an end-to-end SLAM system},
  author={Newman P et al.},
  pages={237-253},
  year = "2010"
}

Navigating, recognizing and describing urban spaces with vision and lasers

Newman P et al. (2009), International Journal of Robotics Research, 28(11-12), 1406-1433

Altmetric score is
BibTeX View PDF
@inproceedings{navigatingrecog-2009/12,
  title={Navigating, recognizing and describing urban spaces with vision and lasers},
  author={Newman P et al.},
  pages={1406-1433},
  year = "2009"
}

A generative framework for fast urban labeling using spatial and temporal context

Posner I, Cummins M & Newman P (2009), Autonomous Robots, 26(2-3), 153-170

Altmetric score is
BibTeX View PDF
@inproceedings{agenerativefram-2009/4,
  title={A generative framework for fast urban labeling using spatial and temporal context},
  author={Posner I, Cummins M & Newman P},
  pages={153-170},
  year = "2009"
}

Fast probabilistic labeling of city maps

Posner I, Cummins M & Newman P (2009), Robotics: Science and Systems, 4, 17-24

Altmetric score is
BibTeX View PDF
@inproceedings{fastprobabilist-2009/1,
  title={Fast probabilistic labeling of city maps},
  author={Posner I, Cummins M & Newman P},
  pages={17-24},
  year = "2009"
}

Online generation of scene descriptions in urban environments

Posner I, Schroeter D & Newman P (2008), Robotics and Autonomous Systems, 56(11), 901-914

Altmetric score is
BibTeX View PDF
@inproceedings{onlinegeneratio-2008/11,
  title={Online generation of scene descriptions in urban environments},
  author={Posner I, Schroeter D & Newman P},
  pages={901-914},
  year = "2008"
}

Using scene similarity for place labelling

Posner I, Schroeter D & Newman PM (2008), Springer Tracts in Advanced Robotics, 39, 85-98

Altmetric score is
BibTeX View PDF
@inproceedings{usingscenesimil-2008/2,
  title={Using scene similarity for place labelling},
  author={Posner I, Schroeter D & Newman PM},
  pages={85-98},
  year = "2008"
}

Describing composite urban workspaces

Posner I, Schroeter D & Newman P (2007), Proceedings - IEEE International Conference on Robotics and Automation, 4962-4968

Altmetric score is
BibTeX View PDF
@inproceedings{describingcompo-2007/11,
  title={Describing composite urban workspaces},
  author={Posner I, Schroeter D & Newman P},
  pages={4962-4968},
  year = "2007"
}

Incorporating Human Domain Knowledge into Large Scale Cost Function Learning

Posner HI, Wulfmeier M & Rao D (0)

Altmetric score is
BibTeX
@inproceedings{incorporatinghu-/,
  title={Incorporating Human Domain Knowledge into Large Scale Cost Function Learning},
  author={Posner HI, Wulfmeier M & Rao D},
  booktitle={Neural Information Processing Systems Conference}
}

Sequential Attend, Infer, Repeat: Generative Modelling of Moving Objects

Kosiorek AR et al. (0)

Altmetric score is
BibTeX
@inproceedings{sequentialatten-/,
  title={Sequential Attend, Infer, Repeat: Generative Modelling of Moving Objects},
  author={Kosiorek AR et al.}
}

On the Limitations of Representing Functions on Sets

Posner H et al. (0), arXiv preprint arXiv:1901.09006 2019

Altmetric score is
BibTeX
@article{onthelimitation-/,
  title={On the Limitations of Representing Functions on Sets},
  author={Posner H et al.},
  journal={arXiv preprint arXiv:1901.09006 2019}
}

Imagine That! Leveraging Emergent Affordances for Tool Synthesis in Reaching Tasks

Wu Y et al. (0)

Altmetric score is
BibTeX
@article{imaginethatleve-/,
  title={Imagine That! Leveraging Emergent Affordances for Tool Synthesis in
  Reaching Tasks},
  author={Wu Y et al.},
  journal={}
}

Goal-Conditioned End-to-End Visuomotor Control for Versatile Skill Primitives

Posner H et al. (0), ArXiv, 2020

Altmetric score is
BibTeX
@article{goalconditioned-/,
  title={Goal-Conditioned End-to-End Visuomotor Control for Versatile Skill Primitives},
  author={Posner H et al.},
  journal={ArXiv, 2020}
}

GENESIS-V2: Inferring Unordered Object Representations without Iterative Refinement

Posner H, Parker Jones O & Engelcke M (0)

Altmetric score is
BibTeX
@inproceedings{genesisvinferri-/,
  title={GENESIS-V2: Inferring Unordered Object Representations without Iterative Refinement},
  author={Posner H, Parker Jones O & Engelcke M},
  booktitle={Robotics Journal}
}

Resource-Performance Trade-off Analysis for Mobile Robot Design

Lahijanian M et al. (0), arXiv

Altmetric score is
BibTeX
@article{resourceperform-/,
  title={Resource-Performance Trade-off Analysis for Mobile Robot Design},
  author={Lahijanian M et al.},
  journal={arXiv}
}