Using Scene Similarity for Place Labelling. - Ingmar Posner; Derik Schröter; Paul M. Newman (ISER, 2006)

Describing Composite Urban Workspaces. - Ingmar Posner; Derik Schröter; Paul M. Newman (ICRA, 2007)

Describing, Navigating and Recognising Urban Spaces - Building an End-to-End SLAM System. - Paul Newman 001; Manjari Chandran-Ramesh; Dave Cole; Mark Cummins; Alastair Harrison; Ingmar Posner; Derik Schröter (ISRR, 2007)

Fast Probabilistic Labeling of City Maps. - Ingmar Posner; Mark Cummins; Paul Newman 001 (Robotics: Science and Systems, 2008)

Online generation of scene descriptions in urban environments. - Ingmar Posner; Derik Schröter; Paul M. Newman (Robotics Auton. Syst., 2008)

A generative framework for fast urban labeling using spatial and temporal context. - Ingmar Posner; Mark Cummins; Paul M. Newman (Auton. Robots, 2009)

Navigating, Recognizing and Describing Urban Spaces With Vision and Lasers. - Paul Newman 001; Gabe Sibley; Mike Smith 002; Mark Cummins; Alastair Harrison; Christopher Mei; Ingmar Posner; Robbie Shade; Derik Schröter; Liz Murphy; Winston Churchill; Dave Cole; et al. (Int. J. Robotics Res., 2009)

Using text-spotting to query the world. - Ingmar Posner; Peter Corke; Paul M. Newman (IROS, 2010)

Efficient Non-Parametric Surface Representations Using Active Sampling for Push Broom Laser Data. - Mike Smith 002; Ingmar Posner; Paul Newman 001 (Robotics: Science and Systems, 2010)

Planning to Perceive: Exploiting Mobility for Robust Object Detection. - Javier Vélez; Garrett Hemann; Albert S. Huang; Ingmar Posner; Nicholas Roy (ICAPS, 2011)

Adaptive Data Compression for Robot Perception. - Mike Smith 002; Ingmar Posner; Paul M. Newman (IJCAI, 2011)

Active Exploration for Robust Object Detection. - Javier Vélez; Garrett Hemann; Albert S. Huang; Ingmar Posner; Nicholas Roy (IJCAI, 2011)

Adaptive compression for 3D laser data. - Mike Smith 002; Ingmar Posner; Paul M. Newman (Int. J. Robotics Res., 2011)

What could move? Finding cars, pedestrians and bicyclists in 3D laser data. - Dominic Zeng Wang; Ingmar Posner; Paul Newman 001 (ICRA, 2012)

Can priors be trusted? Learning to anticipate roadworks. - Bonolo Mathibela; Michael A. Osborne; Ingmar Posner; Paul Newman 001 (ITSC, 2012)

Modelling Observation Correlations for Active Exploration and Robust Object Detection. - Javier Vélez; Garrett Hemann; Albert S. Huang; Ingmar Posner; Nicholas Roy (J. Artif. Intell. Res., 2012)

Knowing when we don't know: Introspective classification for mission-critical decision making. - Hugo Grimmett; Rohan Paul; Rudolph Triebel; Ingmar Posner (ICRA, 2013)

A roadwork scene signature based on the opponent colour model. - Bonolo Mathibela; Ingmar Posner; Paul Newman 001 (IROS, 2013)

Driven Learning for Driving: How Introspection Improves Semantic Mapping. - Rudolph Triebel; Hugo Grimmett; Rohan Paul; Ingmar Posner (ISRR, 2013)

A New Approach to Model-Free Tracking with 2D Lidar. - Dominic Zeng Wang; Ingmar Posner; Paul Newman 001 (ISRR, 2013)

Toward automated driving in cities using close-to-market sensors: An overview of the V-Charge Project. - Paul Timothy Furgale; Ulrich Schwesinger; Martin Rufli; Wojciech Derendarz; Hugo Grimmett; Peter Mühlfellner; Stefan Wonneberger; Julian Timpner; Stephan Rottmann; Bo Li 018; Bastian Schmidt; Thien-Nghia Nguyen; et al. (Intelligent Vehicles Symposium, 2013)

The Route Not Taken: Driver-Centric Estimation of Electric Vehicle Range. - Peter Ondruska; Ingmar Posner (ICAPS, 2014)

Probabilistic attainability maps: Efficiently predicting driver-specific electric vehicle range. - Peter Ondruska; Ingmar Posner (Intelligent Vehicles Symposium, 2014)

Wrong Today, Right Tomorrow: Experience-Based Classification for Robot Perception. - Jeffrey Hawke; Corina Gurau; Chi Hay Tong; Ingmar Posner (FSR, 2015)

Learning to assess terrain from human demonstration using an introspective Gaussian-process classifier. - Laszlo-Peter Berczi; Ingmar Posner; Timothy D. Barfoot (ICRA, 2015)

Know your limits: Embedding localiser performance models in teach and repeat maps. - Winston Churchill; Chi Hay Tong; Corina Gurau; Ingmar Posner; Paul Newman 001 (ICRA, 2015)

Integrating metric and semantic maps for vision-only automated parking. - Hugo Grimmett; Mathias Bürki; Lina María Paz; Pedro Pinies; Paul Timothy Furgale; Ingmar Posner; Paul Newman 001 (ICRA, 2015)

From dusk till dawn: Localisation at night using artificial light sources. - Peter Nelson; Winston Churchill; Ingmar Posner; Paul Newman 001 (ICRA, 2015)

Scheduled perception for energy-efficient path following. - Peter Ondruska; Corina Gurau; Letizia Marchegiani; Chi Hay Tong; Ingmar Posner (ICRA, 2015)

Exploiting known unknowns: Scene induced cross-calibration of lidar-stereo systems. - Terry Scott 002; Akshay A. Morye; Pedro Pinies; Lina María Paz; Ingmar Posner; Paul Newman 001 (IROS, 2015)

Exploiting 3D semantic scene priors for online traffic light interpretation. - Dan Barnes; William P. Maddern; Ingmar Posner (Intelligent Vehicles Symposium, 2015)

Voting for Voting in Online Point Cloud Object Detection. - Dominic Zeng Wang; Ingmar Posner (Robotics: Science and Systems, 2015)

Deep Inverse Reinforcement Learning. - Markus Wulfmeier; Peter Ondruska; Ingmar Posner (CoRR, 2015)

Model-free detection and tracking of dynamic objects with 2D lidar. - Dominic Zeng Wang; Ingmar Posner; Paul Newman 001 (Int. J. Robotics Res., 2015)

Reading the Road: Road Marking Classification and Interpretation. - Bonolo Mathibela; Paul Newman 001; Ingmar Posner (IEEE Trans. Intell. Transp. Syst., 2015)

Deep Tracking: Seeing Beyond Seeing Using Recurrent Neural Networks. - Peter Ondruska; Ingmar Posner (AAAI, 2016)

Off the beaten track: Predicting localisation performance in visual teach and repeat. - Julie Dequaire; Chi Hay Tong; Winston Churchill; Ingmar Posner (ICRA, 2016)

Choosing a time and place for calibration of lidar-camera systems. - Terry Scott 002; Akshay A. Morye; Pedro Pinies; Lina María Paz; Ingmar Posner; Paul Newman 001 (ICRA, 2016)

Enabling intelligent energy management for robots using publicly available maps. - Oliver Bartlett; Corina Gurau; Letizia Marchegiani; Ingmar Posner (IROS, 2016)

Watch this: Scalable cost-function learning for path planning in urban environments. - Markus Wulfmeier; Dominic Zeng Wang; Ingmar Posner (IROS, 2016)

Fit for Purpose? Predicting Perception Performance Based on Past Experience. - Corina Gurau; Chi Hay Tong; Ingmar Posner (ISER, 2016)

Automated valet parking and charging for e-mobility. - Ulrich Schwesinger; Mathias Bürki; Julian Timpner; Stephan Rottmann; Lars C. Wolf; Lina María Paz; Hugo Grimmett; Ingmar Posner; Paul Newman 001; Christian Häne; Lionel Heng; Gim Hee Lee; et al. (Intelligent Vehicles Symposium, 2016)

Deep Tracking on the Move: Learning to Track the World from a Moving Vehicle using Recurrent Neural Networks. - Julie Dequaire; Dushyant Rao; Peter Ondruska; Dominic Zeng Wang; Ingmar Posner (CoRR, 2016)

End-to-End Tracking and Semantic Segmentation Using Recurrent Neural Networks. - Peter Ondruska; Julie Dequaire; Dominic Zeng Wang; Ingmar Posner (CoRR, 2016)

Resource-Performance Trade-off Analysis for Mobile Robots. - María Svorenová; Morteza Lahijanian; Akshay A. Morye; Dushyant Rao; Ingmar Posner; Paul Newman 001; Hadas Kress-Gazit; Marta Kwiatkowska (CoRR, 2016)

Incorporating Human Domain Knowledge into Large Scale Cost Function Learning. - Markus Wulfmeier; Dushyant Rao; Ingmar Posner (CoRR, 2016)

Introspective classification for robot perception. - Hugo Grimmett; Rudolph Triebel; Rohan Paul; Ingmar Posner (Int. J. Robotics Res., 2016)

Mutual Alignment Transfer Learning. - Markus Wulfmeier; Ingmar Posner; Pieter Abbeel (CoRL, 2017)

Find your own way: Weakly-supervised segmentation of path proposals for urban autonomy. - Dan Barnes; Will Maddern; Ingmar Posner (ICRA, 2017)

Vote3Deep: Fast object detection in 3D point clouds using efficient convolutional neural networks. - Martin Engelcke; Dushyant Rao; Dominic Zeng Wang; Chi Hay Tong; Ingmar Posner (ICRA, 2017)

Leveraging the urban soundscape: Auditory perception for smart vehicles. - Letizia Marchegiani; Ingmar Posner (ICRA, 2017)

What makes a place? Building bespoke place dependent object detectors for robotics. - Jeffrey Hawke; Alex Bewley; Ingmar Posner (IROS, 2017)

Addressing appearance change in outdoor robotics with adversarial domain adaptation. - Markus Wulfmeier; Alex Bewley; Ingmar Posner (IROS, 2017)

Hierarchical Attentive Recurrent Tracking. - Adam R. Kosiorek; Alex Bewley; Ingmar Posner (NIPS, 2017)

Incremental Adversarial Domain Adaptation. - Markus Wulfmeier; Alex Bewley; Ingmar Posner (CoRR, 2017)

Large-scale cost function learning for path planning using deep inverse reinforcement learning. - Markus Wulfmeier; Dushyant Rao; Dominic Zeng Wang; Peter Ondruska; Ingmar Posner (Int. J. Robotics Res., 2017)

ShapeStacks: Learning Vision-Based Physical Intuition for Generalised Object Stacking. - Oliver Groth; Fabian B. Fuchs; Ingmar Posner; Andrea Vedaldi (ECCV (1), 2018)

TACO: Learning Task Decomposition via Temporal Alignment for Control. - Kyriacos Shiarlis; Markus Wulfmeier; Sasha Salter; Shimon Whiteson; Ingmar Posner (ICML, 2018)

Driven to Distraction: Self-Supervised Distractor Learning for Robust Monocular Visual Odometry in Urban Environments. - Dan Barnes; Will Maddern; Geoffrey Pascoe; Ingmar Posner (ICRA, 2018)

Incremental Adversarial Domain Adaptation for Continually Changing Environments. - Markus Wulfmeier; Alex Bewley; Ingmar Posner (ICRA, 2018)

Long-Term Driving Behaviour Modelling for Driver Identification. - Letizia Marchegiani; Ingmar Posner (ITSC, 2018)

Sequential Attend, Infer, Repeat: Generative Modelling of Moving Objects. - Adam R. Kosiorek; Hyunjik Kim; Yee Whye Teh; Ingmar Posner (NeurIPS, 2018)

Neural Stethoscopes: Unifying Analytic, Auxiliary and Adversarial Network Probing. - Fabian B. Fuchs; Oliver Groth; Adam R. Kosiorek; Alex Bewley; Markus Wulfmeier; Andrea Vedaldi; Ingmar Posner (CoRR, 2018)

Dropout Distillation for Efficiently Estimating Model Confidence. - Corina Gurau; Alex Bewley; Ingmar Posner (CoRR, 2018)

Deep tracking in the wild: End-to-end tracking using recurrent neural networks. - Julie Dequaire; Peter Ondruska; Dushyant Rao; Dominic Zeng Wang; Ingmar Posner (Int. J. Robotics Res., 2018)

Learn from experience: Probabilistic prediction of perception performance to avoid failure. - Corina Gurau; Dushyant Rao; Chi Hay Tong; Ingmar Posner (Int. J. Robotics Res., 2018)

Resource-Performance Tradeoff Analysis for Mobile Robots. - Morteza Lahijanian; María Svorenová; Akshay A. Morye; Brian Yeomans; Dushyant Rao; Ingmar Posner; Paul Newman 001; Hadas Kress-Gazit; Marta Kwiatkowska (IEEE Robotics Autom. Lett., 2018)

Scrutinizing and De-Biasing Intuitive Physics with Neural Stethoscopes. - Fabian B. Fuchs; Oliver Groth; Adam R. Kosiorek; Alex Bewley; Markus Wulfmeier; Andrea Vedaldi; Ingmar Posner (BMVC, 2019)

Masking by Moving: Learning Distraction-Free Radar Odometry from Pose Information. - Dan Barnes; Rob Weston; Ingmar Posner (CoRL, 2019)

On the Limitations of Representing Functions on Sets. - Edward Wagstaff; Fabian Fuchs; Martin Engelcke; Ingmar Posner; Michael A. Osborne (ICML, 2019)

Probably Unknown: Deep Inverse Sensor Modelling Radar. - Rob Weston; Sarah Huiyi Cen; Paul Newman 001; Ingmar Posner (ICRA, 2019)

End-to-end Recurrent Multi-Object Tracking and Trajectory Prediction with Relational Reasoning. - Fabian B. Fuchs; Adam R. Kosiorek; Li Sun 005; Oiwi Parker Jones; Ingmar Posner (CoRR, 2019)

Imagine That! Leveraging Emergent Affordances for Tool Synthesis in Reaching Tasks. - Yizhe Wu; Sudhanshu Kasewa; Oliver Groth; Sasha Salter; Li Sun 005; Oiwi Parker Jones; Ingmar Posner (CoRR, 2019)

Attention Privileged Reinforcement Learning For Domain Transfer. - Sasha Salter; Dushyant Rao; Markus Wulfmeier; Raia Hadsell; Ingmar Posner (CoRR, 2019)

Attention-Privileged Reinforcement Learning. - Sasha Salter; Dushyant Rao; Markus Wulfmeier; Raia Hadsell; Ingmar Posner (CoRL, 2020)

GENESIS: Generative Scene Inference and Sampling with Object-Centric Latent Representations. - Martin Engelcke; Adam R. Kosiorek; Oiwi Parker Jones; Ingmar Posner (ICLR, 2020)

Localising Faster: Efficient and precise lidar-based robot localisation in large-scale environments. - Li Sun 005; Daniel Adolfsson; Martin Magnusson 002; Henrik Andreasson; Ingmar Posner; Tom Duckett (ICRA, 2020)

The Oxford Radar RobotCar Dataset: A Radar Extension to the Oxford RobotCar Dataset. - Dan Barnes; Matthew Gadd; Paul Murcutt; Paul Newman 001; Ingmar Posner (ICRA, 2020)

Under the Radar: Learning to Predict Robust Keypoints for Odometry Estimation and Metric Localisation in Radar. - Dan Barnes; Ingmar Posner (ICRA, 2020)

First Steps: Latent-Space Control with Semantic Constraints for Quadruped Locomotion. - Alexander L. Mitchell; Martin Engelcke; Oiwi Parker Jones; David Surovik; Siddhant Gangapurwala; Oliwier Melon; Ioannis Havoutis; Ingmar Posner (IROS, 2020)

RELATE: Physically Plausible Multi-Object Scene Synthesis Using Structured Latent Spaces. - Sébastien Ehrhardt; Oliver Groth; Áron Monszpart; Martin Engelcke; Ingmar Posner; Niloy J. Mitra; Andrea Vedaldi (NeurIPS, 2020)

First Steps: Latent-Space Control with Semantic Constraints for Quadruped Locomotion. - Alexander L. Mitchell; Martin Engelcke; Oiwi Parker Jones; David Surovik; Ioannis Havoutis; Ingmar Posner (CoRR, 2020)

Reconstruction Bottlenecks in Object-Centric Generative Models. - Martin Engelcke; Oiwi Parker Jones; Ingmar Posner (CoRR, 2020)

Iterative SE(3)-Transformers. - Fabian B. Fuchs; Edward Wagstaff; Justas Dauparas; Ingmar Posner (GSI, 2021)

Goal-Conditioned End-to-End Visuomotor Control for Versatile Skill Primitives. - Oliver Groth; Chia-Man Hung; Andrea Vedaldi; Ingmar Posner (ICRA, 2021)

Introspective Visuomotor Control: Exploiting Uncertainty in Deep Visuomotor Control for Failure Recovery. - Chia-Man Hung; Li Sun 005; Yizhe Wu; Ioannis Havoutis; Ingmar Posner (ICRA, 2021)

There and Back Again: Learning to Simulate Radar Data for Real-World Applications. - Rob Weston; Oiwi Parker Jones; Ingmar Posner (ICRA, 2021)

APEX: Unsupervised, Object-Centric Scene Segmentation and Tracking for Robot Manipulation. - Yizhe Wu; Oiwi Parker Jones; Martin Engelcke; Ingmar Posner (IROS, 2021)

GENESIS-V2: Inferring Unordered Object Representations without Iterative Refinement. - Martin Engelcke; Oiwi Parker Jones; Ingmar Posner (NeurIPS, 2021)

E(n) Equivariant Normalizing Flows. - Victor Garcia Satorras; Emiel Hoogeboom; Fabian Fuchs; Ingmar Posner; Max Welling (NeurIPS, 2021)

E(n) Equivariant Normalizing Flows for Molecule Generation in 3D. - Victor Garcia Satorras; Emiel Hoogeboom; Fabian B. Fuchs; Ingmar Posner; Max Welling (CoRR, 2021)

From Machine Learning to Robotics: Challenges and Opportunities for Embodied Intelligence. - Nicholas Roy; Ingmar Posner; Tim D. Barfoot; Philippe Beaudoin; Yoshua Bengio; Jeannette Bohg; Oliver Brock; Isabelle Depatie; Dieter Fox; Daniel E. Koditschek; Tomás Lozano-Pérez; Vikash Mansinghka 001; et al. (CoRR, 2021)

You Only Look at One: Category-Level Object Representations for Pose Estimation From a Single Example. - Walter Goodwin; Ioannis Havoutis; Ingmar Posner (CoRL, 2022)

Touching a NeRF: Leveraging Neural Radiance Fields for Tactile Sensory Data Generation. - Shaohong Zhong; Alessandro Albini; Oiwi Parker Jones; Perla Maiolino; Ingmar Posner (CoRL, 2022)

Zero-Shot Category-Level Object Pose Estimation. - Walter Goodwin; Sagar Vaze; Ioannis Havoutis; Ingmar Posner (ECCV (39), 2022)

Semantically Grounded Object Matching for Robust Robotic Scene Rearrangement. - Walter Goodwin; Sagar Vaze; Ioannis Havoutis; Ingmar Posner (ICRA, 2022)

Next Steps: Learning a Disentangled Gait Representation for Versatile Quadruped Locomotion. - Alexander L. Mitchell; Wolfgang Merkt; Mathieu Geisert; Siddhant Gangapurwala; Martin Engelcke; Oiwi Parker Jones; Ioannis Havoutis; Ingmar Posner (ICRA, 2022)

Fast-MbyM: Leveraging Translational Invariance of the Fourier Transform for Efficient and Accurate Radar Odometry. - Rob Weston; Matthew Gadd; Daniele De Martini; Paul Newman 001; Ingmar Posner (ICRA, 2022)

ObPose: Leveraging Canonical Pose for Object-Centric Scene Inference in 3D. - Yizhe Wu; Oiwi Parker Jones; Ingmar Posner (CoRR, 2022)

Universal Approximation of Functions on Sets. - Edward Wagstaff; Fabian B. Fuchs; Martin Engelcke; Michael A. Osborne; Ingmar Posner (J. Mach. Learn. Res., 2022)

Reaching Through Latent Space: From Joint Statistics to Path Planning in Manipulation. - Chia-Man Hung; Shaohong Zhong; Walter Goodwin; Oiwi Parker Jones; Martin Engelcke; Ioannis Havoutis; Ingmar Posner (IEEE Robotics Autom. Lett., 2022)

Priors, Hierarchy, and Information Asymmetry for Skill Transfer in Reinforcement Learning. - Sasha Salter; Kristian Hartikainen; Walter Goodwin; Ingmar Posner (ICLR, 2023)

Leveraging Scene Embeddings for Gradient-Based Motion Planning in Latent Space. - Jun Yamada; Chia-Man Hung; Jack Collins; Ioannis Havoutis; Ingmar Posner (ICRA, 2023)

Neural Latent Geometry Search: Product Manifold Inference via Gromov-Hausdorff-Informed Bayesian Optimization. - Haitz Sáez de Ocáriz Borde; Alvaro Arroyo; Ismael Morales; Ingmar Posner; Xiaowen Dong 001 (NeurIPS, 2023)

DITTO: Offline Imitation Learning with World Models. - Branton DeMoss; Paul Duckworth; Nick Hawes; Ingmar Posner (CoRR, 2023)

Efficient Skill Acquisition for Complex Manipulation Tasks in Obstructed Environments. - Jun Yamada; Jack Collins; Ingmar Posner (CoRR, 2023)

Projections of Model Spaces for Latent Graph Inference. - Haitz Sáez de Ocáriz Borde; Alvaro Arroyo; Ingmar Posner (CoRR, 2023)

Gromov-Hausdorff Distances for Comparing Product Manifolds of Model Spaces. - Haitz Sáez de Ocáriz Borde; Alvaro Arroyo; Ismael Morales; Ingmar Posner; Xiaowen Dong 001 (CoRR, 2023)

Variational Causal Dynamics: Discovering Modular World Models from Interventions. - Anson Lei; Bernhard Schölkopf; Ingmar Posner (Trans. Mach. Learn. Res., 2023)

VAE-Loco: Versatile Quadruped Locomotion by Learning a Disentangled Gait Representation. - Alexander L. Mitchell; Wolfgang Merkt; Mathieu Geisert; Siddhant Gangapurwala; Martin Engelcke; Oiwi Parker Jones; Ioannis Havoutis; Ingmar Posner (IEEE Trans. Robotics, 2023)

Gaitor: Learning a Unified Representation Across Gaits for Real-World Quadruped Locomotion. - Alexander Luis Mitchell; Wolfgang Merkt; Aristotelis Papatheodorou; Ioannis Havoutis; Ingmar Posner (CoRL, 2024)

Reward-Free Curricula for Training Robust World Models. - Marc Rigter; Minqi Jiang; Ingmar Posner (ICLR, 2024)

TWIST: Teacher-Student World Model Distillation for Efficient Sim-to-Real Transfer. - Jun Yamada; Marc Rigter; Jack Collins; Ingmar Posner (ICRA, 2024)

Efficient skill acquisition for insertion tasks in obstructed environments. - Jun Yamada; Jack Collins; Ingmar Posner (L4DC, 2024)

A Review of Differentiable Simulators. - Rhys Newbury; Jack Collins; Kerry He; Jiahe Pan; Ingmar Posner; David Howard 001; Akansel Cosgun (IEEE Access, 2024)

D-Cubed: Latent Diffusion Trajectory Optimisation for Dexterous Deformable Manipulation. - Jun Yamada; Shaohong Zhong; Jack Collins; Ingmar Posner (CoRR, 2024)

Compete and Compose: Learning Independent Mechanisms for Modular World Models. - Anson Lei; Frederik Nolte; Bernhard Schölkopf; Ingmar Posner (CoRR, 2024)

SPARTAN: A Sparse Transformer Learning Local Causation. - Anson Lei; Bernhard Schölkopf; Ingmar Posner (CoRR, 2024)

Offline Adaptation of Quadruped Locomotion using Diffusion Models. - Reece O'Mahoney; Alexander L. Mitchell; Wanming Yu; Ingmar Posner; Ioannis Havoutis (CoRR, 2024)

The Complexity Dynamics of Grokking. - Branton DeMoss; Silvia Sapora; Jakob N. Foerster; Nick Hawes; Ingmar Posner (CoRR, 2024)

DreamUp3D: Object-Centric Generative Models for Single-View 3D Scene Understanding and Real-to-Sim Transfer. - Yizhe Wu; Haitz Sáez de Ocáriz Borde; Jack Collins; Oiwi Parker Jones; Ingmar Posner (IEEE Robotics Autom. Lett., 2024)

World Models via Policy-Guided Trajectory Diffusion. - Marc Rigter; Jun Yamada; Ingmar Posner (Trans. Mach. Learn. Res., 2024)

RAMP: A Benchmark for Evaluating Robotic Assembly Manipulation and Planning. - Jack Collins; Mark Robson; Jun Yamada; Mohan Sridharan; Karol Janik; Ingmar Posner (IEEE Robotics Autom. Lett., 2024)

AutoGraph: Predicting Lane Graphs From Traffic Observations. - Jannik Zürn; Ingmar Posner; Wolfram Burgard (IEEE Robotics Autom. Lett., 2024)

Group Decision-Making in Robot Teleoperation: Two Heads are Better Than One. - Duc-An Nguyen; Raunak Bhattacharyya; Clara Colombatto; Steve Fleming; Ingmar Posner; Nick Hawes (HRI, 2025)

TactGen: Tactile Sensory Data Generation via Zero-Shot Sim-to-Real Transfer. - Shaohong Zhong; Alessandro Albini; Perla Maiolino; Ingmar Posner (IEEE Trans. Robotics, 2025)

COMBO-Grasp: Learning Constraint-Based Manipulation for Bimanual Occluded Grasping. - Jun Yamada; Alexander L. Mitchell; Jack Collins; Ingmar Posner (CoRR, 2025)

LUMOS: Language-Conditioned Imitation Learning with World Models. - Iman Nematollahi; Branton DeMoss; Akshay L. Chandra; Nick Hawes; Wolfram Burgard; Ingmar Posner (CoRR, 2025)

Joint Decision-Making in Robot Teleoperation: When are Two Heads Better Than One? - Duc-An Nguyen; Raunak Bhattacharyya; Clara Colombatto; Steve Fleming; Ingmar Posner; Nick Hawes (CoRR, 2025)

Task and Joint Space Dual-Arm Compliant Control. - Alexander L. Mitchell; Tobit Flatscher; Ingmar Posner (CoRR, 2025)

Is Single-View Mesh Reconstruction Ready for Robotics? - Frederik Nolte; Bernhard Schölkopf; Ingmar Posner (CoRR, 2025)

Enhancing Joint Human-AI Inference in Robot Missions: A Confidence-Based Approach. - Duc-An Nguyen; Clara Colombatto; Steve Fleming; Ingmar Posner; Nick Hawes; Raunak Bhattacharyya (CoRR, 2025)