Ingmar Posner

Wolfram Burgard

IEEE Robotics Autom. Lett., January, 2024

RAMP: A Benchmark for Evaluating Robotic Assembly Manipulation and Planning.

[BibT_eX]

[DOI]

IEEE Robotics Autom. Lett., January, 2024

DreamUp3D: Object-Centric Generative Models for Single-View 3D Scene Understanding and Real-to-Sim Transfer.

[BibT_eX]

[DOI]

Yizhe Wu

Jack Collins

IEEE Robotics Autom. Lett., 2024

D-Cubed: Latent Diffusion Trajectory Optimisation for Dexterous Deformable Manipulation.

[BibT_eX]

[DOI]

CoRR, 2024

2023

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

[BibT_eX]

[DOI]

Wolfgang Merkt

Mathieu Geisert

Siddhant Gangapurwala

IEEE Trans. Robotics, October, 2023

World Models via Policy-Guided Trajectory Diffusion.

[BibT_eX]

[DOI]

Marc Rigter

Jun Yamada

CoRR, 2023

TWIST: Teacher-Student World Model Distillation for Efficient Sim-to-Real Transfer.

[BibT_eX]

[DOI]

CoRR, 2023

Gromov-Hausdorff Distances for Comparing Product Manifolds of Model Spaces.

[BibT_eX]

[DOI]

CoRR, 2023

Reward-Free Curricula for Training Robust World Models.

[BibT_eX]

[DOI]

Marc Rigter

Minqi Jiang

CoRR, 2023

Projections of Model Spaces for Latent Graph Inference.

[BibT_eX]

[DOI]

Alvaro Arroyo

CoRR, 2023

Efficient Skill Acquisition for Complex Manipulation Tasks in Obstructed Environments.

[BibT_eX]

[DOI]

Jun Yamada

Jack Collins

CoRR, 2023

DITTO: Offline Imitation Learning with World Models.

[BibT_eX]

[DOI]

CoRR, 2023

Neural Latent Geometry Search: Product Manifold Inference via Gromov-Hausdorff-Informed Bayesian Optimization.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

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

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Priors, Hierarchy, and Information Asymmetry for Skill Transfer in Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

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

[BibT_eX]

[DOI]

IEEE Robotics Autom. Lett., 2022

Universal Approximation of Functions on Sets.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2022

Variational Causal Dynamics: Discovering Modular World Models from Interventions.

[BibT_eX]

[DOI]

Anson Lei

Bernhard Schölkopf

CoRR, 2022

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

[BibT_eX]

[DOI]

Yizhe Wu

CoRR, 2022

Fast-MbyM: Leveraging Translational Invariance of the Fourier Transform for Efficient and Accurate Radar Odometry.

[BibT_eX]

[DOI]

Proceedings of the 2022 International Conference on Robotics and Automation, 2022

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

[BibT_eX]

[DOI]

Wolfgang Merkt

Mathieu Geisert

Siddhant Gangapurwala

Proceedings of the 2022 International Conference on Robotics and Automation, 2022

Semantically Grounded Object Matching for Robust Robotic Scene Rearrangement.

[BibT_eX]

[DOI]

Proceedings of the 2022 International Conference on Robotics and Automation, 2022

Zero-Shot Category-Level Object Pose Estimation.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2022, 2022

Touching a NeRF: Leveraging Neural Radiance Fields for Tactile Sensory Data Generation.

[BibT_eX]

[DOI]

Proceedings of the Conference on Robot Learning, 2022

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

[BibT_eX]

[DOI]

Walter Goodwin

Ioannis Havoutis

Proceedings of the Conference on Robot Learning, 2022

2021

From Machine Learning to Robotics: Challenges and Opportunities for Embodied Intelligence.

[BibT_eX]

[DOI]

CoRR, 2021

E(n) Equivariant Normalizing Flows for Molecule Generation in 3D.

[BibT_eX]

[DOI]

Victor Garcia Satorras

CoRR, 2021

E(n) Equivariant Normalizing Flows.

[BibT_eX]

[DOI]

Victor Garcia Satorras

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

GENESIS-V2: Inferring Unordered Object Representations without Iterative Refinement.

[BibT_eX]

[DOI]

Martin Engelcke

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

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

[BibT_eX]

[DOI]

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

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

[BibT_eX]

[DOI]

Rob Weston

Proceedings of the IEEE International Conference on Robotics and Automation, 2021

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

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Robotics and Automation, 2021

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

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Robotics and Automation, 2021

Iterative SE(3)-Transformers.

[BibT_eX]

[DOI]

Proceedings of the Geometric Science of Information - 5th International Conference, 2021

2020

Reconstruction Bottlenecks in Object-Centric Generative Models.

[BibT_eX]

[DOI]

Martin Engelcke

CoRR, 2020

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

[BibT_eX]

[DOI]

CoRR, 2020

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

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

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

[BibT_eX]

[DOI]

Martin Engelcke

David Surovik

Siddhant Gangapurwala

Oliwier Melon

Ioannis Havoutis

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

Under the Radar: Learning to Predict Robust Keypoints for Odometry Estimation and Metric Localisation in Radar.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

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

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

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

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

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

[BibT_eX]

[DOI]

Proceedings of the 8th International Conference on Learning Representations, 2020

Attention-Privileged Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the 4th Conference on Robot Learning, 2020

2019

Attention Privileged Reinforcement Learning For Domain Transfer.

[BibT_eX]

[DOI]

CoRR, 2019

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

[BibT_eX]

[DOI]

CoRR, 2019

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

[BibT_eX]

[DOI]

CoRR, 2019

Probably Unknown: Deep Inverse Sensor Modelling Radar.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Robotics and Automation, 2019

On the Limitations of Representing Functions on Sets.

[BibT_eX]

[DOI]

Proceedings of the 36th International Conference on Machine Learning, 2019

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

[BibT_eX]

[DOI]

Rob Weston

Proceedings of the 3rd Annual Conference on Robot Learning, 2019

Scrutinizing and De-Biasing Intuitive Physics with Neural Stethoscopes.

[BibT_eX]

[DOI]

Proceedings of the 30th British Machine Vision Conference 2019, 2019

2018

Resource-Performance Tradeoff Analysis for Mobile Robots.

[BibT_eX]

[DOI]

IEEE Robotics Autom. Lett., 2018

Learn from experience: Probabilistic prediction of perception performance to avoid failure.

[BibT_eX]

[DOI]

Int. J. Robotics Res., 2018

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

[BibT_eX]

[DOI]

Int. J. Robotics Res., 2018

Dropout Distillation for Efficiently Estimating Model Confidence.

[BibT_eX]

[DOI]

Corina Gurau

CoRR, 2018

Neural Stethoscopes: Unifying Analytic, Auxiliary and Adversarial Network Probing.

[BibT_eX]

[DOI]

CoRR, 2018

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

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Long-Term Driving Behaviour Modelling for Driver Identification.

[BibT_eX]

[DOI]

Letizia Marchegiani

Proceedings of the 21st International Conference on Intelligent Transportation Systems, 2018

Incremental Adversarial Domain Adaptation for Continually Changing Environments.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

Driven to Distraction: Self-Supervised Distractor Learning for Robust Monocular Visual Odometry in Urban Environments.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

TACO: Learning Task Decomposition via Temporal Alignment for Control.

[BibT_eX]

[DOI]

Proceedings of the 35th International Conference on Machine Learning, 2018

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

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2018, 2018

2017

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

[BibT_eX]

[DOI]

Int. J. Robotics Res., 2017

Incremental Adversarial Domain Adaptation.

[BibT_eX]

[DOI]

CoRR, 2017

Hierarchical Attentive Recurrent Tracking.

[BibT_eX]

[DOI]

Adam R. Kosiorek

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Addressing appearance change in outdoor robotics with adversarial domain adaptation.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2017

What makes a place? Building bespoke place dependent object detectors for robotics.

[BibT_eX]

[DOI]

Jeffrey Hawke

Proceedings of the 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2017

Leveraging the urban soundscape: Auditory perception for smart vehicles.

[BibT_eX]

[DOI]

Letizia Marchegiani

Proceedings of the 2017 IEEE International Conference on Robotics and Automation, 2017

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

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE International Conference on Robotics and Automation, 2017

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

[BibT_eX]

[DOI]

Will Maddern

Proceedings of the 2017 IEEE International Conference on Robotics and Automation, 2017

Mutual Alignment Transfer Learning.

[BibT_eX]

[DOI]

Pieter Abbeel

Proceedings of the 1st Annual Conference on Robot Learning, CoRL 2017, Mountain View, 2017

2016

Introspective classification for robot perception.

[BibT_eX]

[DOI]

Int. J. Robotics Res., 2016

Incorporating Human Domain Knowledge into Large Scale Cost Function Learning.

[BibT_eX]

[DOI]

Dushyant Rao

CoRR, 2016

Resource-Performance Trade-off Analysis for Mobile Robots.

[BibT_eX]

[DOI]

CoRR, 2016

End-to-End Tracking and Semantic Segmentation Using Recurrent Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2016

Deep Tracking on the Move: Learning to Track the World from a Moving Vehicle using Recurrent Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2016

Automated valet parking and charging for e-mobility.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE Intelligent Vehicles Symposium, 2016

Fit for Purpose? Predicting Perception Performance Based on Past Experience.

[BibT_eX]

[DOI]

Corina Gurau

Chi Hay Tong

Proceedings of the International Symposium on Experimental Robotics, 2016

Watch this: Scalable cost-function learning for path planning in urban environments.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2016

Enabling intelligent energy management for robots using publicly available maps.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2016

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

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE International Conference on Robotics and Automation, 2016

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

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE International Conference on Robotics and Automation, 2016

Deep Tracking: Seeing Beyond Seeing Using Recurrent Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015

Reading the Road: Road Marking Classification and Interpretation.

[BibT_eX]

[DOI]

Bonolo Mathibela

IEEE Trans. Intell. Transp. Syst., 2015

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

[BibT_eX]

[DOI]

Int. J. Robotics Res., 2015

Deep Inverse Reinforcement Learning.

[BibT_eX]

[DOI]

CoRR, 2015

Voting for Voting in Online Point Cloud Object Detection.

[BibT_eX]

[DOI]

Proceedings of the Robotics: Science and Systems XI, Sapienza University of Rome, 2015

Exploiting 3D semantic scene priors for online traffic light interpretation.

[BibT_eX]

[DOI]

William P. Maddern

Proceedings of the 2015 IEEE Intelligent Vehicles Symposium, 2015

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

[BibT_eX]

[DOI]

Proceedings of the 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2015

Scheduled perception for energy-efficient path following.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Robotics and Automation, 2015

From dusk till dawn: Localisation at night using artificial light sources.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Robotics and Automation, 2015

Integrating metric and semantic maps for vision-only automated parking.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Robotics and Automation, 2015

Know your limits: Embedding localiser performance models in teach and repeat maps.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Robotics and Automation, 2015

Learning to assess terrain from human demonstration using an introspective Gaussian-process classifier.

[BibT_eX]

[DOI]

Laszlo-Peter Berczi

Timothy D. Barfoot

Proceedings of the IEEE International Conference on Robotics and Automation, 2015

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

[BibT_eX]

[DOI]

Proceedings of the Field and Service Robotics, 2015

2014

Probabilistic attainability maps: Efficiently predicting driver-specific electric vehicle range.

[BibT_eX]

[DOI]

Proceedings of the 2014 IEEE Intelligent Vehicles Symposium Proceedings, 2014

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

[BibT_eX]

[DOI]

Proceedings of the Twenty-Fourth International Conference on Automated Planning and Scheduling, 2014

2013

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

[BibT_eX]

[DOI]

Proceedings of the 2013 IEEE Intelligent Vehicles Symposium (IV), 2013

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

[BibT_eX]

[DOI]

Proceedings of the Robotics Research, 2013

Driven Learning for Driving: How Introspection Improves Semantic Mapping.

[BibT_eX]

[DOI]

Proceedings of the Robotics Research, 2013

A roadwork scene signature based on the opponent colour model.

[BibT_eX]

[DOI]

Bonolo Mathibela

Proceedings of the 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2013

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

[BibT_eX]

[DOI]

Proceedings of the 2013 IEEE International Conference on Robotics and Automation, 2013

2012

Modelling Observation Correlations for Active Exploration and Robust Object Detection.

[BibT_eX]

[DOI]

J. Artif. Intell. Res., 2012

Can priors be trusted? Learning to anticipate roadworks.

[BibT_eX]

[DOI]

Proceedings of the 15th International IEEE Conference on Intelligent Transportation Systems, 2012

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

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Robotics and Automation, 2012

2011

Adaptive compression for 3D laser data.

[BibT_eX]

[DOI]

Mike Smith

Int. J. Robotics Res., 2011

Active Exploration for Robust Object Detection.

[BibT_eX]

[DOI]

Proceedings of the IJCAI 2011, 2011

Adaptive Data Compression for Robot Perception.

[BibT_eX]

[DOI]

Mike Smith

Proceedings of the IJCAI 2011, 2011

Planning to Perceive: Exploiting Mobility for Robust Object Detection.

[BibT_eX]

[DOI]

Proceedings of the 21st International Conference on Automated Planning and Scheduling, 2011

2010

Efficient Non-Parametric Surface Representations Using Active Sampling for Push Broom Laser Data.

[BibT_eX]

[DOI]

Mike Smith

Proceedings of the Robotics: Science and Systems VI, 2010

Using text-spotting to query the world.

[BibT_eX]

[DOI]

Peter Corke

Proceedings of the 2010 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2010

2009

Navigating, Recognizing and Describing Urban Spaces With Vision and Lasers.

[BibT_eX]

[DOI]

Int. J. Robotics Res., 2009

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

[BibT_eX]

[DOI]

Mark Cummins

Auton. Robots, 2009

2008

Online generation of scene descriptions in urban environments.

[BibT_eX]

[DOI]

Derik Schröter

Robotics Auton. Syst., 2008

Fast Probabilistic Labeling of City Maps.

[BibT_eX]

[DOI]

Mark Cummins

Proceedings of the Robotics: Science and Systems IV, 2008

2007

Describing, Navigating and Recognising Urban Spaces - Building an End-to-End SLAM System.

[BibT_eX]

[DOI]

Manjari Chandran-Ramesh

Proceedings of the Robotics Research - The 13th International Symposium, 2007

Describing Composite Urban Workspaces.

[BibT_eX]

[DOI]

Derik Schröter

Proceedings of the 2007 IEEE International Conference on Robotics and Automation, 2007

2006

Using Scene Similarity for Place Labelling.

[BibT_eX]

[DOI]

Derik Schröter