Jürgen Leitner

Orcid: 0000-0003-1319-5073

Affiliations:
  • Queensland University of Technology, Australian Centre for Robotic Vision, Brisbane, Australia


According to our database1, Jürgen Leitner authored at least 67 papers between 2009 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2023
Deep Learning Approaches to Grasp Synthesis: A Review.
IEEE Trans. Robotics, October, 2023

ROSO: Improving Robotic Policy Inference via Synthetic Observations.
CoRR, 2023

Enabling Failure Recovery for On-The-Move Mobile Manipulation.
CoRR, 2023

An Architecture for Reactive Mobile Manipulation On-The-Move.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023

2022
Learning Setup Policies: Reliable Transition Between Locomotion Behaviours.
IEEE Robotics Autom. Lett., 2022

Eyes on the Prize: Improved Perception for Robust Dynamic Grasping.
CoRR, 2022

DGBench: An Open-Source, Reproducible Benchmark for Dynamic Grasping.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

Integrating High-Resolution Tactile Sensing into Grasp Stability Prediction.
Proceedings of the 19th Conference on Robots and Vision, 2022

2021
Follow the Gradient: Crossing the Reality Gap using Differentiable Physics (RealityGrad).
CoRR, 2021

Learning When to Switch: Composing Controllers to Traverse a Sequence of Terrain Artifacts.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

Passing Through Narrow Gaps with Deep Reinforcement Learning.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

2020
EGAD! An Evolved Grasping Analysis Dataset for Diversity and Reproducibility in Robotic Manipulation.
IEEE Robotics Autom. Lett., 2020

Benchmarking Simulated Robotic Manipulation Through a Real World Dataset.
IEEE Robotics Autom. Lett., 2020

Learning robust, real-time, reactive robotic grasping.
Int. J. Robotics Res., 2020

Special Issue on Deep Learning for Robotic Vision.
Int. J. Comput. Vis., 2020

Traversing the Reality Gap via Simulator Tuning.
CoRR, 2020

Learning Arbitrary-Goal Fabric Folding with One Hour of Real Robot Experience.
Proceedings of the 4th Conference on Robot Learning, 2020

2019
Robotic manipulation and the role of the task in the metric of success.
Nat. Mach. Intell., 2019

Picking the right robotics challenge.
Nat. Mach. Intell., 2019

Adversarial discriminative sim-to-real transfer of visuo-motor policies.
Int. J. Robotics Res., 2019

Evaluating task-agnostic exploration for fixed-batch learning of arbitrary future tasks.
CoRR, 2019

A Perceived Environment Design using a Multi-Modal Variational Autoencoder for learning Active-Sensing.
CoRR, 2019

Ctrl-Z: Recovering from Instability in Reinforcement Learning.
CoRR, 2019

Learning Real-time Closed Loop Robotic Reaching from Monocular Vision by Exploiting A Control Lyapunov Function Structure.
Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019

Multi-View Picking: Next-best-view Reaching for Improved Grasping in Clutter.
Proceedings of the International Conference on Robotics and Automation, 2019

Multi-Modal Generative Models for Learning Epistemic Active Sensing.
Proceedings of the International Conference on Robotics and Automation, 2019

Quantifying the Reality Gap in Robotic Manipulation Tasks.
Proceedings of the International Conference on Robotics and Automation, 2019

Jointly Trained Variational Autoencoder for Multi-Modal Sensor Fusion.
Proceedings of the 22th International Conference on Information Fusion, 2019

2018
Guest Editorial Open Discussion of Robot Grasping Benchmarks, Protocols, and Metrics.
IEEE Trans Autom. Sci. Eng., 2018

Special issue on deep learning in robotics.
Int. J. Robotics Res., 2018

The limits and potentials of deep learning for robotics.
Int. J. Robotics Res., 2018

Expert systems: Special issue on "Machine Learning Methods Neural Networks applied to Vision and Robotics (MLMVR)".
Expert Syst. J. Knowl. Eng., 2018

Zero-shot Sim-to-Real Transfer with Modular Priors.
CoRR, 2018

Coordinated Heterogeneous Distributed Perception based on Latent Space Representation.
CoRR, 2018

Closing the Loop for Robotic Grasping: A Real-time, Generative Grasp Synthesis Approach.
Proceedings of the Robotics: Science and Systems XIV, 2018

Towards vision-based manipulation of plastic materials.
Proceedings of the 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2018

Cartman: The Low-Cost Cartesian Manipulator that Won the Amazon Robotics Challenge.
Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018


Training Deep Neural Networks for Visual Servoing.
Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

2017
Design of a Multi-Modal End-Effector and Grasping System: How Integrated Design helped win the Amazon Robotics Challenge.
CoRR, 2017

Cartman: Cartesian Manipulator for Warehouse Automation in Cluttered Environments.
CoRR, 2017

Sim-to-real Transfer of Visuo-motor Policies for Reaching in Clutter: Domain Randomization and Adaptation with Modular Networks.
CoRR, 2017

What Would You Do? Acting by Learning to Predict.
CoRR, 2017

Visual Servoing from Deep Neural Networks.
CoRR, 2017

The ACRV picking benchmark: A robotic shelf picking benchmark to foster reproducible research.
Proceedings of the 2017 IEEE International Conference on Robotics and Automation, 2017

Tuning Modular Networks with Weighted Losses for Hand-Eye Coordination.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2017

Richardson-Lucy Deblurring for Moving Light Field Cameras.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2017

2016
Malachy Eaton: Evolutionary humanoid robotics - Springer, 2015, ISBN 978-3-662-44598-3.
Genet. Program. Evolvable Mach., 2016

A Modular Software Framework for Eye-Hand Coordination in Humanoid Robots.
Frontiers Robotics AI, 2016

Vision-Based Reaching Using Modular Deep Networks: from Simulation to the Real World.
CoRR, 2016

The ACRV Picking Benchmark (APB): A Robotic Shelf Picking Benchmark to Foster Reproducible Research.
CoRR, 2016

Motion Deblurring for Light Fields.
CoRR, 2016

Interactive computational imaging for deformable object analysis.
Proceedings of the 2016 IEEE International Conference on Robotics and Automation, 2016

A distributed robotic vision service.
Proceedings of the 2016 IEEE International Conference on Robotics and Automation, 2016

2015
Towards Vision-Based Deep Reinforcement Learning for Robotic Motion Control.
CoRR, 2015

2014
Improving robot vision models for object detection through interaction.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

Reactive Reaching and Grasping on a Humanoid - Towards Closing the Action-Perception Loop on the iCub.
Proceedings of the ICINCO 2014 - Proceedings of the 11th International Conference on Informatics in Control, Automation and Robotics, Volume 1, Vienna, Austria, 1, 2014

2013
Curiosity driven reinforcement learning for motion planning on humanoids.
Frontiers Neurorobotics, 2013

Task-relevant roadmaps: A framework for humanoid motion planning.
Proceedings of the 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2013

Artificial neural networks for spatial perception: Towards visual object localisation in humanoid robots.
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

Humanoid learns to detect its own hands.
Proceedings of the IEEE Congress on Evolutionary Computation, 2013

2012
Transferring spatial perception between robots operating in a shared workspace.
Proceedings of the 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2012

The Modular Behavioral Environment for Humanoids and other Robots (MoBeE).
Proceedings of the ICINCO 2012 - Proceedings of the 9th International Conference on Informatics in Control, Automation and Robotics, Volume 2, Rome, Italy, 28, 2012

Autonomous learning of robust visual object detection and identification on a humanoid.
Proceedings of the 2012 IEEE International Conference on Development and Learning and Epigenetic Robotics, 2012

MT-CGP: mixed type cartesian genetic programming.
Proceedings of the Genetic and Evolutionary Computation Conference, 2012

An Integrated, Modular Framework for Computer Vision and Cognitive Robotics Research (icVision).
Proceedings of the Biologically Inspired Cognitive Architectures 2012 - Proceedings of the Third Annual Meeting of the BICA Society, Palermo, Sicily, Italy, October 31, 2012

2009
Robot Formations for Area Coverage.
Proceedings of the Intelligent Robotics and Applications, Second International Conference, 2009


  Loading...