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Showing 50 publications by Ingmar Posner

DITTO: Offline Imitation Learning with World Models

DeMoss B, Duckworth P, Hawes N & Posner I (2023)

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BibTeX
@misc{dittoofflineimi-2023/2,
  title={DITTO: Offline Imitation Learning with World Models},
  author={DeMoss B, Duckworth P, Hawes N & Posner I},
  year = "2023"
}

You Only Look at One: Category-Level Object Representations for Pose Estimation From a Single Example

Goodwin W, Havoutis I & Posner I (2023), Proceedings of Machine Learning Research, 205, 1435-1445

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BibTeX
@inproceedings{youonlylookaton-2023/1,
  title={You Only Look at One: Category-Level Object Representations for Pose Estimation From a Single Example},
  author={Goodwin W, Havoutis I & Posner I},
  pages={1435-1445},
  year = "2023"
}

Leveraging Scene Embeddings for Gradient-Based Motion Planning in Latent Space

Yamada J, Hung CM, Collins J, Havoutis I & Posner I (2023), Proceedings - IEEE International Conference on Robotics and Automation, 2023-May, 5674-5680

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@inproceedings{leveragingscene-2023/1,
  title={Leveraging Scene Embeddings for Gradient-Based Motion Planning in Latent Space},
  author={Yamada J, Hung CM, Collins J, Havoutis I & Posner I},
  pages={5674-5680},
  year = "2023"
}

VAE-Loco: Versatile Quadruped Locomotion by Learning a Disentangled Gait Representation

Mitchell AL, Merkt WX, Geisert M, Gangapurwala S, Engelcke M et al. (2023), IEEE Transactions on Robotics, 1-16

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@article{vaelocoversatil-2023/,
  title={VAE-Loco: Versatile Quadruped Locomotion by Learning a Disentangled Gait Representation},
  author={Mitchell AL, Merkt WX, Geisert M, Gangapurwala S, Engelcke M et al.},
  journal={IEEE Transactions on Robotics},
  pages={1-16},
  publisher={Institute of Electrical and Electronics Engineers (IEEE)},
  year = "2023"
}

Zero-shot category-level object pose estimation

Goodwin W, Vaze S, Havoutis I & Posner I (2022)(13699), 516-532

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@inproceedings{zeroshotcategor-2022/10,
  title={Zero-shot category-level object pose estimation},
  author={Goodwin W, Vaze S, Havoutis I & Posner I},
  booktitle={17th European Conference on Computer Vision (ECCV 2022)},
  pages={516-532},
  year = "2022"
}

Reaching Through Latent Space: From Joint Statistics to Path Planning in Manipulation

Hung C-M, Zhong S, Goodwin W, Jones OP, Engelcke M et al. (2022)

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BibTeX
@misc{reachingthrough-2022/10,
  title={Reaching Through Latent Space: From Joint Statistics to Path Planning in
  Manipulation},
  author={Hung C-M, Zhong S, Goodwin W, Jones OP, Engelcke M et al.},
  year = "2022"
}

Next steps: learning a disentangled gait representation for versatile quadruped locomotion

Mitchell A, Merkt W, Geisert M, Gangapurwala S, Engelcke M et al. (2022), 2022 International Conference on Robotics and Automation (ICRA), 10564-10570

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@inproceedings{nextstepslearni-2022/7,
  title={Next steps: learning a disentangled gait representation for versatile quadruped locomotion},
  author={Mitchell A, Merkt W, Geisert M, Gangapurwala S, Engelcke M et al.},
  booktitle={International Conference on Robotics and Automation (ICRA 2022)},
  pages={10564-10570},
  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

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@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"
}

ObPose: Leveraging Pose for Object-Centric Scene Inference in 3D

Wu Y, Jones OP & Posner I (2022)

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BibTeX
@misc{obposeleveragin-2022/6,
  title={ObPose: Leveraging Pose for Object-Centric Scene Inference in 3D},
  author={Wu Y, Jones OP & Posner I},
  year = "2022"
}

VAE-Loco: Versatile Quadruped Locomotion by Learning a Disentangled Gait Representation

Mitchell AL, Merkt W, Geisert M, Gangapurwala S, Engelcke M et al. (2022)

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BibTeX
@misc{vaelocoversatil-2022/5,
  title={VAE-Loco: Versatile Quadruped Locomotion by Learning a Disentangled Gait
  Representation},
  author={Mitchell AL, Merkt W, Geisert M, Gangapurwala S, Engelcke M et al.},
  year = "2022"
}

Reaching through latent space: From joint statistics to path planning in manipulation

Hung C-M, Zhong S, Goodwin W, Parker Jones O, Engelcke M et al. (2022), IEEE Robotics and Automation Letters

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@article{reachingthrough-2022/2,
  title={Reaching through latent space: From joint statistics to path planning in manipulation},
  author={Hung C-M, Zhong S, Goodwin W, Parker Jones O, Engelcke M et al.},
  journal={IEEE Robotics and Automation Letters},
  publisher={Institute of Electrical and Electronics Engineers},
  year = "2022"
}

Universal Approximation of Functions on Sets

Wagstaff E, Fuchs FB, Engelcke M, Osborne MA & Posner I (2022), Journal of Machine Learning Research, 23

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BibTeX
@article{universalapprox-2022/1,
  title={Universal Approximation of Functions on Sets},
  author={Wagstaff E, Fuchs FB, Engelcke M, Osborne MA & Posner I},
  journal={Journal of Machine Learning Research},
  volume={23},
  year = "2022"
}

Next Steps: Learning a Disentangled Gait Representation for Versatile Quadruped Locomotion

Mitchell AL, Merkt W, Geisert M, Gangapurwala S, Engelcke M et al. (2021)

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BibTeX
@misc{nextstepslearni-2021/12,
  title={Next Steps: Learning a Disentangled Gait Representation for Versatile
  Quadruped Locomotion},
  author={Mitchell AL, Merkt W, Geisert M, Gangapurwala S, Engelcke M et al.},
  year = "2021"
}

Goal-conditioned end-to-end visuomotor control for versatile skill primitives

Groth O, Hung C, Vedaldi A & Posner I (2021), 2021 IEEE International Conference on Robotics and Automation (ICRA), 1319-1325

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@inproceedings{goalconditioned-2021/10,
  title={Goal-conditioned end-to-end visuomotor control for versatile skill primitives},
  author={Groth O, Hung C, Vedaldi A & Posner I},
  booktitle={2021 International Conference on Robotics and Automation (ICRA 2021)},
  pages={1319-1325},
  year = "2021"
}

Universal Approximation of Functions on Sets

Wagstaff E, Fuchs FB, Engelcke M, Osborne MA & Posner I (2021)

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BibTeX
@misc{universalapprox-2021/7,
  title={Universal Approximation of Functions on Sets},
  author={Wagstaff E, Fuchs FB, Engelcke M, Osborne MA & Posner I},
  year = "2021"
}

There and Back Again: Learning to Simulate Radar Data for Real-World Applications

Weston R, Jones OP & Posner I (2021), 2021 IEEE International Conference on Robotics and Automation (ICRA)

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@inproceedings{thereandbackaga-2021/5,
  title={There and Back Again: Learning to Simulate Radar Data for Real-World Applications},
  author={Weston R, Jones OP & Posner I},
  booktitle={2021 IEEE International Conference on Robotics and Automation (ICRA)},
  year = "2021"
}

Introspective Visuomotor Control: Exploiting Uncertainty in Deep Visuomotor Control for Failure Recovery

Hung C-M, Sun L, Wu Y, Havoutis I & Posner I (2021), 2021 IEEE International Conference on Robotics and Automation (ICRA)

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@inproceedings{introspectivevi-2021/5,
  title={Introspective Visuomotor Control: Exploiting Uncertainty in Deep Visuomotor Control for Failure Recovery},
  author={Hung C-M, Sun L, Wu Y, Havoutis I & Posner I},
  booktitle={2021 IEEE International Conference on Robotics and Automation (ICRA)},
  year = "2021"
}

APEX: Unsupervised, Object-Centric Scene Segmentation and Tracking for Robot Manipulation

Wu Y, Jones OP, Engelcke M & Posner I (2021)

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BibTeX
@misc{apexunsupervise-2021/5,
  title={APEX: Unsupervised, Object-Centric Scene Segmentation and Tracking for
  Robot Manipulation},
  author={Wu Y, Jones OP, Engelcke M & Posner I},
  year = "2021"
}

GENESIS-V2: Inferring Unordered Object Representations without Iterative Refinement

Engelcke M, Jones OP & Posner I (2021)

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BibTeX
@misc{genesisvinferri-2021/4,
  title={GENESIS-V2: Inferring Unordered Object Representations without Iterative
  Refinement},
  author={Engelcke M, Jones OP & Posner I},
  year = "2021"
}

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

Mitchell A, Engelcke M, Parker Jones O, Surovik D, Havoutis I 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, Engelcke M, Parker Jones O, Surovik D, Havoutis I et al.},
  booktitle={IROS 2020},
  pages={5343-5350},
  year = "2021"
}

E(n) Equivariant Normalizing Flows

Satorras VG, Hoogeboom E, Fuchs FB, Posner I & Welling M (2021), Advances in Neural Information Processing Systems, 6, 4181-4192

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BibTeX
@inproceedings{enequivariantno-2021/1,
  title={E(n) Equivariant Normalizing Flows},
  author={Satorras VG, Hoogeboom E, Fuchs FB, Posner I & Welling M},
  pages={4181-4192},
  year = "2021"
}

Iterative SE(3)-Transformers

Fuchs FB, Wagstaff E, Dauparas J & Posner I (2021), GEOMETRIC SCIENCE OF INFORMATION (GSI 2021), 12829, 585-595

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

APEX: Unsupervised, Object-Centric Scene Segmentation and Tracking for Robot Manipulation

Wu Y, Jones OP, Engelcke M, Posner I & IEEE (2021), 2021 IEEE/RSJ INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS (IROS), 3375-3382

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@inproceedings{apexunsupervise-2021/,
  title={APEX: Unsupervised, Object-Centric Scene Segmentation and Tracking for Robot Manipulation},
  author={Wu Y, Jones OP, Engelcke M, Posner I & IEEE },
  pages={3375-3382},
  year = "2021"
}

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

Ehrhardt S, Groth O, Monszpart A, Engelcke M, Posner H et al. (2020), NIPS Proceedings, 33

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@inproceedings{relatephysicall-2020/12,
  title={RELATE: physically plausible multi-object scene synthesis using structured latent spaces},
  author={Ehrhardt S, Groth O, Monszpart A, Engelcke M, Posner H et al.},
  booktitle={NeurIPS 2020},
  year = "2020"
}

Attention-privileged reinforcement learning

Salter S, Rao D, Wulfmeier M, Hadsell R & Posner H (2020), Proceedings of the Conference on Robot Learning 2020(2020)

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BibTeX
@inproceedings{attentionprivil-2020/11,
  title={Attention-privileged reinforcement learning},
  author={Salter S, Rao D, Wulfmeier M, Hadsell R & Posner H},
  booktitle={Conference of Robotic Learning},
  year = "2020"
}

There and Back Again: Learning to Simulate Radar Data for Real-World Applications

Weston R, Jones OP & Posner I (2020)

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BibTeX
@misc{thereandbackaga-2020/11,
  title={There and Back Again: Learning to Simulate Radar Data for Real-World
  Applications},
  author={Weston R, Jones OP & Posner I},
  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, Kasewa S, Groth O, Salter S, Sun L et al. (2020)

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

Reconstruction Bottlenecks in Object-Centric Generative Models

Engelcke M, Jones OP & Posner I (2020)

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BibTeX
@misc{reconstructionb-2020/7,
  title={Reconstruction Bottlenecks in Object-Centric Generative Models},
  author={Engelcke M, Jones OP & Posner I},
  year = "2020"
}

First Steps: Latent-Space Control with Semantic Constraints for Quadruped Locomotion

Mitchell AL, Engelcke M, Jones OP, Surovik D, Gangapurwala S et al. (2020)

Altmetric score is
BibTeX
@misc{firststepslaten-2020/7,
  title={First Steps: Latent-Space Control with Semantic Constraints for
  Quadruped Locomotion},
  author={Mitchell AL, Engelcke M, Jones OP, Surovik D, Gangapurwala S et al.},
  year = "2020"
}

RELATE: Physically Plausible Multi-Object Scene Synthesis Using Structured Latent Spaces

Ehrhardt S, Groth O, Monszpart A, Engelcke M, Posner I et al. (2020)

Altmetric score is
BibTeX
@misc{relatephysicall-2020/7,
  title={RELATE: Physically Plausible Multi-Object Scene Synthesis Using
  Structured Latent Spaces},
  author={Ehrhardt S, Groth O, Monszpart A, Engelcke M, Posner I et al.},
  year = "2020"
}

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

Posner H (2020)

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BibTeX
@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"
}

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

Engelcke M, Kosiorek A, Parker Jones O & Posner H (2020), Proceedings of the ICLR 2020

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BibTeX
@inproceedings{genesisgenerati-2020/3,
  title={GENESIS: Generative Scene Inference and Sampling of Object-Centric Latent Representations},
  author={Engelcke M, Kosiorek A, Parker Jones O & Posner H},
  booktitle={International Conference on Learning Representations 2020 (ICLR)},
  year = "2020"
}

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

Sun L, Adolfsson D, Magnusson M, Andreasson H, Posner I et al. (2020), 2020 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION (ICRA), 4386-4392

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@inproceedings{localisingfaste-2020/,
  title={Localising Faster: Efficient and precise lidar-based robot localisation in large-scale environments},
  author={Sun L, Adolfsson D, Magnusson M, Andreasson H, Posner I et al.},
  pages={4386-4392},
  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, Groth O, Kosiorek AR, Bewley A, Wulfmeier M et al. (2019), British Machine Vision Conference (BMVC), 2019

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BibTeX
@inproceedings{scrutinizingand-2019/9,
  title={Scrutinizing and de-biasing intuitive physics with neural stethoscopes},
  author={Fuchs FB, Groth O, Kosiorek AR, Bewley A, Wulfmeier M et al.},
  year = "2019"
}

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

Posner H, Newman P, Murcutt P, Barnes D & Gadd M (2019), arXiv Preprint arXiv: 1909.01300,2019

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BibTeX
@inproceedings{theoxfordradarr-2019/9,
  title={The Oxford Radar RobotCar Dataset: A Radar Extension to the Oxford RobotCar Dataset},
  author={Posner H, Newman P, Murcutt P, Barnes D & Gadd M},
  year = "2019"
}

Probably unknown: Deep inverse sensor modelling radar

Weston R, Cen S, Newman P & Posner H (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, Cen S, Newman P & Posner H},
  pages={5446-5452},
  year = "2019"
}

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

Posner H, Fuchs F, Kosiorek A, Sun L & Parker Jones O (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, Fuchs F, Kosiorek A, Sun L & Parker Jones O},
  journal={arXiv:1907.12887v3},
  year = "2019"
}

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

POSNER H, PARKER JONES OP, Engelcke M & Kosiorek A (2019), arXiv:1907.13052v2

Altmetric score is
BibTeX
@article{genesisgenerati-2019/7,
  title={GENESIS: Generative Scene Inference and Sampling of Object-Centric Latent Representations},
  author={POSNER H, PARKER JONES OP, Engelcke M & Kosiorek A},
  journal={arXiv:1907.13052v2},
  year = "2019"
}

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

Engelcke M, Kosiorek AR, Jones OP & Posner I (2019)

Altmetric score is
BibTeX
@misc{genesisgenerati-2019/7,
  title={GENESIS: Generative Scene Inference and Sampling with Object-Centric
  Latent Representations},
  author={Engelcke M, Kosiorek AR, Jones OP & Posner I},
  year = "2019"
}

End-to-end Recurrent Multi-Object Tracking and Trajectory Prediction with Relational Reasoning

Fuchs FB, Kosiorek AR, Sun L, Jones OP & Posner I (2019)

Altmetric score is
BibTeX
@misc{endtoendrecurre-2019/7,
  title={End-to-end Recurrent Multi-Object Tracking and Trajectory Prediction
  with Relational Reasoning},
  author={Fuchs FB, Kosiorek AR, Sun L, Jones OP & Posner I},
  year = "2019"
}

On the limitations of representing functions on sets

Wagstaff E, Fuchs FB, Engelcke M, Posner I & Osborne MA (2019), Proceedings of Machine Learning Research, 97, 6487-6494

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BibTeX
@inproceedings{onthelimitation-2019/6,
  title={On the limitations of representing functions on sets},
  author={Wagstaff E, Fuchs FB, Engelcke M, Posner I & Osborne MA},
  pages={6487-6494},
  year = "2019"
}

On the Limitations of Representing Functions on Sets

Wagstaff E, Fuchs FB, Engelcke M, Posner I & Osborne M (2019)

Altmetric score is
BibTeX
@misc{onthelimitation-2019/1,
  title={On the Limitations of Representing Functions on Sets},
  author={Wagstaff E, Fuchs FB, Engelcke M, Posner I & Osborne M},
  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, Maddern W, Pascoe G & Posner HI (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, Maddern W, Pascoe G & Posner HI},
  year = "2018"
}

Hierarchical attentive recurrent tracking

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

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BibTeX
@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, Wulfmeier M, Salter S, Whiteson SA & Posner HI (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, Wulfmeier M, Salter S, Whiteson SA & Posner HI},
  year = "2018"
}

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

Dequaire J, Tong C, Churchill W & Posner I (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, Tong C, Churchill W & Posner I},
  booktitle={Proceedings of the IEEE International Conference on Robotics and Automation (ICRA), Stockholm, Sweden, 2016.},
  pages={795-800},
  year = "2018"
}