Niko Sünderhauf

Nur Muhammad (Mahi) Shafiullah

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

Open X-Embodiment: Robotic Learning Datasets and RT-X Models : Open X-Embodiment Collaboration.

[BibT_eX]

[DOI]

Henrik I. Christensen

Keerthana Gopalakrishnan

Lawrence Yunliang Chen

Roberto Martín-Martín

Subramanian Ramamoorthy

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

RoboHop: Segment-based Topological Map Representation for Open-World Visual Navigation.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

Open-Set Recognition in the Age of Vision-Language Models.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2024, 2024

Human-in-the-Loop Segmentation of Multi-species Coral Imagery.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Bayesian controller fusion: Leveraging control priors in deep reinforcement learning for robotics.

[BibT_eX]

[DOI]

Int. J. Robotics Res., March, 2023

Switchable Constraints for Robust Simultaneous Localization and Mapping and Satellite-Based Localization

[BibT_eX]

[DOI]

Springer Tracts in Advanced Robotics 137, Springer, ISBN: 978-3-031-24015-7, 2023

LHManip: A Dataset for Long-Horizon Language-Grounded Manipulation Tasks in Cluttered Tabletop Environments.

[BibT_eX]

[DOI]

CoRR, 2023

SayPlan: Grounding Large Language Models using 3D Scene Graphs for Scalable Task Planning.

[BibT_eX]

[DOI]

CoRR, 2023

Contrastive Language, Action, and State Pre-training for Robot Learning.

[BibT_eX]

[DOI]

Krishan Rana

Andrew Melnik

CoRR, 2023

The Need for Inherently Privacy-Preserving Vision in Trustworthy Autonomous Systems.

[BibT_eX]

[DOI]

CoRR, 2023

Addressing the Challenges of Open-World Object Detection.

[BibT_eX]

[DOI]

CoRR, 2023

Hyperdimensional Feature Fusion for Out-of-Distribution Detection.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

Density-aware NeRF Ensembles: Quantifying Predictive Uncertainty in Neural Radiance Fields.

[BibT_eX]

[DOI]

Dimity Miller

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

SAFE: Sensitivity-Aware Features for Out-of-Distribution Object Detection.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

SayPlan: Grounding Large Language Models using 3D Scene Graphs for Scalable Robot Task Planning.

[BibT_eX]

[DOI]

Proceedings of the Conference on Robot Learning, 2023

2022

FSNet: A Failure Detection Framework for Semantic Segmentation.

[BibT_eX]

[DOI]

IEEE Robotics Autom. Lett., 2022

Uncertainty for Identifying Open-Set Errors in Visual Object Detection.

[BibT_eX]

[DOI]

IEEE Robotics Autom. Lett., 2022

A Holistic Approach to Reactive Mobile Manipulation.

[BibT_eX]

[DOI]

Jesse Haviland

Peter Corke

IEEE Robotics Autom. Lett., 2022

BenchBot environments for active robotics (BEAR): Simulated data for active scene understanding research.

[BibT_eX]

[DOI]

Int. J. Robotics Res., 2022

Semantic-geometric visual place recognition: a new perspective for reconciling opposing views.

[BibT_eX]

[DOI]

Sourav Garg

Int. J. Robotics Res., 2022

ParticleNeRF: A Particle-Based Encoding for Online Neural Radiance Fields in Dynamic Scenes.

[BibT_eX]

[DOI]

CoRR, 2022

Retrospectives on the Embodied AI Workshop.

[BibT_eX]

[DOI]

CoRR, 2022

Noisy Inliers Make Great Outliers: Out-of-Distribution Object Detection with Noisy Synthetic Outliers.

[BibT_eX]

[DOI]

CoRR, 2022

Implicit Object Mapping With Noisy Data.

[BibT_eX]

[DOI]

Paulo Vinicius Koerich Borges

CoRR, 2022

Forest Traversability Mapping (FTM): Traversability estimation using 3D voxel-based Normal Distributed Transform to enable forest navigation.

[BibT_eX]

[DOI]

Fabio Ruetz

Emili Hernández

Thierry Peynot

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

Residual Skill Policies: Learning an Adaptable Skill-based Action Space for Reinforcement Learning for Robotics.

[BibT_eX]

[DOI]

Proceedings of the Conference on Robot Learning, 2022

2021

Probabilistic Appearance-Invariant Topometric Localization With New Place Awareness.

[BibT_eX]

[DOI]

IEEE Robotics Autom. Lett., October, 2021

Corrections to "Probabilistic Visual Place Recognition for Hierarchical Localization".

[BibT_eX]

[DOI]

Ming Xu

IEEE Robotics Autom. Lett., 2021

Probabilistic Visual Place Recognition for Hierarchical Localization.

[BibT_eX]

[DOI]

Ming Xu

IEEE Robotics Autom. Lett., 2021

Hyperdimensional Feature Fusion for Out-Of-Distribution Detection.

[BibT_eX]

[DOI]

Samuel Wilson

CoRR, 2021

Zero-Shot Uncertainty-Aware Deployment of Simulation Trained Policies on Real-World Robots.

[BibT_eX]

[DOI]

CoRR, 2021

Per-frame mAP Prediction for Continuous Performance Monitoring of Object Detection During Deployment.

[BibT_eX]

[DOI]

Proceedings of the IEEE Winter Conference on Applications of Computer Vision Workshops, 2021

Class Anchor Clustering: A Loss for Distance-based Open Set Recognition.

[BibT_eX]

[DOI]

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

Critic Guided Segmentation of Rewarding Objects in First-Person Views.

[BibT_eX]

[DOI]

Proceedings of the KI 2021: Advances in Artificial Intelligence - 44th German Conference on AI, Virtual Event, September 27, 2021

Online Monitoring of Object Detection Performance During Deployment.

[BibT_eX]

[DOI]

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

Evaluating the Impact of Semantic Segmentation and Pose Estimation on Dense Semantic SLAM.

[BibT_eX]

[DOI]

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

VarifocalNet: An IoU-Aware Dense Object Detector.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

Special Issue on Deep Learning for Robotic Vision.

[BibT_eX]

[DOI]

Int. J. Comput. Vis., 2020

Semantics for Robotic Mapping, Perception and Interaction: A Survey.

[BibT_eX]

[DOI]

Found. Trends Robotics, 2020

SWA Object Detection.

[BibT_eX]

[DOI]

CoRR, 2020

Online Monitoring of Object Detection Performance Post-Deployment.

[BibT_eX]

[DOI]

CoRR, 2020

Performance Monitoring of Object Detection During Deployment.

[BibT_eX]

[DOI]

CoRR, 2020

The Robotic Vision Scene Understanding Challenge.

[BibT_eX]

[DOI]

CoRR, 2020

BenchBot: Evaluating Robotics Research in Photorealistic 3D Simulation and on Real Robots.

[BibT_eX]

[DOI]

CoRR, 2020

Class Anchor Clustering: a Distance-based Loss for Training Open Set Classifiers.

[BibT_eX]

[DOI]

CoRR, 2020

Multiplicative Controller Fusion: A Hybrid Navigation Strategy For Deployment in Unknown Environments.

[BibT_eX]

[DOI]

CoRR, 2020

Probabilistic Object Detection: Definition and Evaluation.

[BibT_eX]

[DOI]

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020

Multiplicative Controller Fusion: Leveraging Algorithmic Priors for Sample-efficient Reinforcement Learning and Safe Sim-To-Real Transfer.

[BibT_eX]

[DOI]

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

Residual Reactive Navigation: Combining Classical and Learned Navigation Strategies For Deployment in Unknown Environments.

[BibT_eX]

[DOI]

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

2019

QuadricSLAM: Dual Quadrics From Object Detections as Landmarks in Object-Oriented SLAM.

[BibT_eX]

[DOI]

Lachlan Nicholson

IEEE Robotics Autom. Lett., 2019

A probabilistic challenge for object detection.

[BibT_eX]

[DOI]

Nat. Mach. Intell., 2019

Residual Reactive Navigation: Combining Classical and Learned Navigation Strategies For Deployment in Unknown Environments.

[BibT_eX]

[DOI]

CoRR, 2019

Where are the Keys? - Learning Object-Centric Navigation Policies on Semantic Maps with Graph Convolutional Networks.

[BibT_eX]

[DOI]

CoRR, 2019

The Probabilistic Object Detection Challenge.

[BibT_eX]

[DOI]

CoRR, 2019

What Can Robotics Research Learn from Computer Vision Research?

[BibT_eX]

[DOI]

Proceedings of the Robotics Research, 2019

Did You Miss the Sign? A False Negative Alarm System for Traffic Sign Detectors.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019

Evaluating Merging Strategies for Sampling-based Uncertainty Techniques in Object Detection.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Robotics and Automation, 2019

Look No Deeper: Recognizing Places from Opposing Viewpoints under Varying Scene Appearance using Single-View Depth Estimation.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Robotics and Automation, 2019

Airborne Particle Classification in LiDAR Point Clouds Using Deep Learning.

[BibT_eX]

[DOI]

Proceedings of the Field and Service Robotics, 2019

Benchmarking Sampling-based Probabilistic Object Detectors.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

2018

Multimodal Trip Hazard Affordance Detection on Construction Sites.

[BibT_eX]

[DOI]

IEEE Robotics Autom. Lett., 2018

Special issue on deep learning in robotics.

[BibT_eX]

[DOI]

Int. J. Robotics Res., 2018

The limits and potentials of deep learning for robotics.

[BibT_eX]

[DOI]

Int. J. Robotics Res., 2018

Probability-based Detection Quality (PDQ): A Probabilistic Approach to Detection Evaluation.

[BibT_eX]

[DOI]

CoRR, 2018

Zero-shot Sim-to-Real Transfer with Modular Priors.

[BibT_eX]

[DOI]

CoRR, 2018

An Orientation Factor for Object-Oriented SLAM.

[BibT_eX]

[DOI]

Natalie Jablonsky

CoRR, 2018

Towards Semantic SLAM: Points, Planes and Objects.

[BibT_eX]

[DOI]

CoRR, 2018

QuadricSLAM: Constrained Dual Quadrics from Object Detections as Landmarks in Semantic SLAM.

[BibT_eX]

[DOI]

Lachlan Nicholson

CoRR, 2018

LoST? Appearance-Invariant Place Recognition for Opposite Viewpoints using Visual Semantics.

[BibT_eX]

[DOI]

Sourav Garg

Proceedings of the Robotics: Science and Systems XIV, 2018

SceneCut: Joint Geometric and Object Segmentation for Indoor Scenes.

[BibT_eX]

[DOI]

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

Dropout Sampling for Robust Object Detection in Open-Set Conditions.

[BibT_eX]

[DOI]

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

Don't Look Back: Robustifying Place Categorization for Viewpoint- and Condition-Invariant Place Recognition.

[BibT_eX]

[DOI]

Sourav Garg

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

QuadricSLAM: Dual Quadrics As SLAM Landmarks.

[BibT_eX]

[DOI]

Lachlan Nicholson

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2018

Vision-and-Language Navigation: Interpreting Visually-Grounded Navigation Instructions in Real Environments.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Learning Deployable Navigation Policies at Kilometer Scale from a Single Traversal.

[BibT_eX]

[DOI]

Proceedings of the 2nd Annual Conference on Robot Learning, 2018

Structure Aware SLAM Using Quadrics and Planes.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ACCV 2018, 2018

2017

One-Shot Reinforcement Learning for Robot Navigation with Interactive Replay.

[BibT_eX]

[DOI]

CoRR, 2017

Dual Quadrics from Object Detection BoundingBoxes as Landmark Representations in SLAM.

[BibT_eX]

[DOI]

CoRR, 2017

What Would You Do? Acting by Learning to Predict.

[BibT_eX]

[DOI]

CoRR, 2017

Multi-Modal Trip Hazard Affordance Detection On Construction Sites.

[BibT_eX]

[DOI]

CoRR, 2017

Meaningful maps with object-oriented semantic mapping.

[BibT_eX]

[DOI]

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

The ACRV picking benchmark: A robotic shelf picking benchmark to foster reproducible research.

[BibT_eX]

[DOI]

Christopher F. Lehnert

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

Deep learning features at scale for visual place recognition.

[BibT_eX]

[DOI]

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

Episode-Based Active Learning with Bayesian Neural Networks.

[BibT_eX]

[DOI]

Peter I. Corke

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2017

2016

Visual Place Recognition: A Survey.

[BibT_eX]

[DOI]

IEEE Trans. Robotics, 2016

Meaningful Maps - Object-Oriented Semantic Mapping.

[BibT_eX]

[DOI]

CoRR, 2016

The ACRV Picking Benchmark (APB): A Robotic Shelf Picking Benchmark to Foster Reproducible Research.

[BibT_eX]

[DOI]

Christopher F. Lehnert

CoRR, 2016

High-fidelity simulation for evaluating robotic vision performance.

[BibT_eX]

[DOI]

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

Place categorization and semantic mapping on a mobile robot.

[BibT_eX]

[DOI]

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

2015

Superpixel-based appearance change prediction for long-term navigation across seasons.

[BibT_eX]

[DOI]

Robotics Auton. Syst., 2015

Evaluation of Features for Leaf Classification in Challenging Conditions.

[BibT_eX]

[DOI]

Proceedings of the 2015 IEEE Winter Conference on Applications of Computer Vision, 2015

Place Recognition with ConvNet Landmarks: Viewpoint-Robust, Condition-Robust, Training-Free.

[BibT_eX]

[DOI]

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

On the performance of ConvNet features for place recognition.

[BibT_eX]

[DOI]

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

Sequence searching with deep-learnt depth for condition- and viewpoint-invariant route-based place recognition.

[BibT_eX]

[DOI]

Proceedings of the 2015 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2015

2014

Proceedings of the 1st Workshop on Robotics Challenges and Vision (RCV2013).

[BibT_eX]

[DOI]

Gonzalo López-Nicolás

CoRR, 2014

Fine-Grained Plant Classification Using Convolutional Neural Networks for Feature Extraction.

[BibT_eX]

[DOI]

Proceedings of the Working Notes for CLEF 2014 Conference, 2014

2013

Switchable constraints and incremental smoothing for online mitigation of non-line-of-sight and multipath effects.

[BibT_eX]

[DOI]

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

Switchable constraints vs. max-mixture models vs. RRR - A comparison of three approaches to robust pose graph SLAM.

[BibT_eX]

[DOI]

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

Incremental smoothing vs. filtering for sensor fusion on an indoor UAV.

[BibT_eX]

[DOI]

Sven Lange

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

Appearance change prediction for long-term navigation across seasons.

[BibT_eX]

[DOI]

Proceedings of the 2013 European Conference on Mobile Robots, 2013

2012

From Saliency Based Image Features Towards Semantic Mapping.

[BibT_eX]

[DOI]

Proceedings of the ROBOTIK 2012, 2012

Multipath mitigation in GNSS-based localization using robust optimization.

[BibT_eX]

[DOI]

Proceedings of the 2012 IEEE Intelligent Vehicles Symposium, 2012

Switchable constraints for robust pose graph SLAM.

[BibT_eX]

[DOI]

Proceedings of the 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2012

Towards a robust back-end for pose graph SLAM.

[BibT_eX]

[DOI]

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

Towards robust graphical models for GNSS-based localization in urban environments.

[BibT_eX]

[DOI]

Proceedings of the International Multi-Conference on Systems, Signals & Devices, 2012

2011

BRIEF-Gist - Closing the loop by simple means.

[BibT_eX]

[DOI]

Proceedings of the 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2011

2010

Learning from Nature: Biologically Inspired Robot Navigation and SLAM - A Review.

[BibT_eX]

[DOI]

Künstliche Intell., 2010

From Neurons to Robots: Towards Efficient Biologically Inspired Filtering and SLAM.

[BibT_eX]

[DOI]

Proceedings of the KI 2010: Advances in Artificial Intelligence, 2010

The causal update filter - A novel biologically inspired filter paradigm for appearance-based SLAM.

[BibT_eX]

[DOI]

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

Beyond RatSLAM: Improvements to a biologically inspired SLAM system.

[BibT_eX]

[DOI]

Proceedings of 15th IEEE International Conference on Emerging Technologies and Factory Automation, 2010

2009

Using image profiles and integral images for efficient calculation of sparse optical flow fields.

[BibT_eX]

[DOI]

Proceedings of the 14th International Conference on Advanced Robotics, 2009

A vision based onboard approach for landing and position control of an autonomous multirotor UAV in GPS-denied environments.

[BibT_eX]

[DOI]

Sven Lange

Proceedings of the 14th International Conference on Advanced Robotics, 2009

2006

Bringing Robotics closer to Students - a Threefold Approach.

[BibT_eX]

[DOI]

Thomas Krause

Proceedings of the 2006 IEEE International Conference on Robotics and Automation, 2006

2005

RoboKing - Bringing Robotics closer to Pupils.

[BibT_eX]

[DOI]

Thomas Krause