Showing 50 publications by Ingmar Posner
DITTO: Offline Imitation Learning with World Models
DeMoss B, Duckworth P, Hawes N & Posner I (2023)
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
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
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
BibTeX
@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
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)
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
BibTeX
@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
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"
}
ObPose: Leveraging Pose for Object-Centric Scene Inference in 3D
Wu Y, Jones OP & Posner I (2022)
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)
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
BibTeX
@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
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)
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
Universal Approximation of Functions on Sets
Wagstaff E, Fuchs FB, Engelcke M, Osborne MA & Posner I (2021)
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)
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)
BibTeX
@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)
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)
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
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
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
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
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
BibTeX
@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)
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)
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
BibTeX
@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)
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)
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)
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)
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)
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)
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
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
BibTeX
@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
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
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
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
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
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
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)
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)
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
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)
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)
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)
Hierarchical attentive recurrent tracking
Kosiorek AR, Bewley A & Posner H (2018), 30th Neural Information Processing Systems (NIPS 2017)
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
BibTeX
@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
BibTeX
@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"
}