Jürgen Leitner

According to our database, Jürgen Leitner authored at least 68 papers between 2009 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

OphNet: A Large-Scale Video Benchmark for Ophthalmic Surgical Workflow Understanding.

Ming Hu, Peng Xia, Lin Wang, Siyuan Yan, Feilong Tang, Zhongxing Xu, Yimin Luo, Kaimin Song, Jürgen Leitner, Xuelian Cheng, Jun Cheng, Chi Liu, Kaijing Zhou, Zongyuan Ge

Proceedings of the Computer Vision - ECCV 2024, 2024

2023

Deep Learning Approaches to Grasp Synthesis: A Review.

Rhys Newbury, Morris Gu, Lachlan Chumbley, Arsalan Mousavian, Clemens Eppner, Jürgen Leitner, Jeannette Bohg, Antonio Morales, Tamim Asfour, Danica Kragic, Dieter Fox, Akansel Cosgun

IEEE Trans. Robotics, October, 2023

ROSO: Improving Robotic Policy Inference via Synthetic Observations.

Yusuke Miyashita, Dimitris Gahtidis, Colin La, Jeremy Rabinowicz, Jürgen Leitner

CoRR, 2023

Enabling Failure Recovery for On-The-Move Mobile Manipulation.

Ben Burgess-Limerick, Chris Lehnert, Jürgen Leitner, Peter Corke

CoRR, 2023

An Architecture for Reactive Mobile Manipulation On-The-Move.

Ben Burgess-Limerick, Chris Lehnert, Jürgen Leitner, Peter Corke

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

2022

Learning Setup Policies: Reliable Transition Between Locomotion Behaviours.

Brendan Tidd, Nicolas Hudson, Akansel Cosgun, Jürgen Leitner

IEEE Robotics Autom. Lett., 2022

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

Ben Burgess-Limerick, Chris Lehnert, Jürgen Leitner, Peter Corke

CoRR, 2022

DGBench: An Open-Source, Reproducible Benchmark for Dynamic Grasping.

Ben Burgess-Limerick, Chris Lehnert, Jürgen Leitner, Peter Corke

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

Integrating High-Resolution Tactile Sensing into Grasp Stability Prediction.

Lachlan Chumbley, Morris Gu, Rhys Newbury, Jürgen Leitner, Akansel Cosgun

Proceedings of the 19th Conference on Robots and Vision, 2022

2021

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

Jack Collins, Ross Brown, Jürgen Leitner, David Howard

CoRR, 2021

Learning When to Switch: Composing Controllers to Traverse a Sequence of Terrain Artifacts.

Brendan Tidd, Akansel Cosgun, Jürgen Leitner, Nicolas Hudson

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

Passing Through Narrow Gaps with Deep Reinforcement Learning.

Brendan Tidd, Akansel Cosgun, Jürgen Leitner, Nicolas Hudson

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.

Douglas Morrison, Peter Corke, Jürgen Leitner

IEEE Robotics Autom. Lett., 2020

Benchmarking Simulated Robotic Manipulation Through a Real World Dataset.

Jack Collins, Jessie McVicar, David Wedlock, Ross Brown, David Howard, Jürgen Leitner

IEEE Robotics Autom. Lett., 2020

Learning robust, real-time, reactive robotic grasping.

Douglas Morrison, Peter Corke, Jürgen Leitner

Int. J. Robotics Res., 2020

Special Issue on Deep Learning for Robotic Vision.

Anelia Angelova, Gustavo Carneiro, Niko Sünderhauf, Jürgen Leitner

Int. J. Comput. Vis., 2020

Traversing the Reality Gap via Simulator Tuning.

Jack Collins, Ross Brown, Jürgen Leitner, David Howard

CoRR, 2020

Learning Arbitrary-Goal Fabric Folding with One Hour of Real Robot Experience.

Robert Lee, Daniel Ward, Vibhavari Dasagi, Akansel Cosgun, Juxi Leitner, Peter Corke

Proceedings of the 4th Conference on Robot Learning, 2020

2019

Robotic manipulation and the role of the task in the metric of success.

Valerio Ortenzi, Marco Controzzi, Francesca Cini, Jürgen Leitner, Matteo Bianchi, Máximo A. Roa, Peter Corke

Nat. Mach. Intell., 2019

Picking the right robotics challenge.

Jürgen Leitner

Nat. Mach. Intell., 2019

Adversarial discriminative sim-to-real transfer of visuo-motor policies.

Fangyi Zhang, Jürgen Leitner, Zongyuan Ge, Michael Milford, Peter Corke

Int. J. Robotics Res., 2019

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

Vibhavari Dasagi, Robert Lee, Jake Bruce, Jürgen Leitner

CoRR, 2019

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

Timo Korthals, Malte Schilling, Jürgen Leitner

CoRR, 2019

Ctrl-Z: Recovering from Instability in Reinforcement Learning.

Vibhavari Dasagi, Jake Bruce, Thierry Peynot, Jürgen Leitner

CoRR, 2019

Learning Real-time Closed Loop Robotic Reaching from Monocular Vision by Exploiting A Control Lyapunov Function Structure.

Zheyu Zhuang, Jürgen Leitner, Robert E. Mahony

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.

Douglas Morrison, Peter Corke, Jürgen Leitner

Proceedings of the International Conference on Robotics and Automation, 2019

Multi-Modal Generative Models for Learning Epistemic Active Sensing.

Timo Korthals, Daniel Rudolph, Jürgen Leitner, Marc Hesse, Ulrich Rückert

Proceedings of the International Conference on Robotics and Automation, 2019

Quantifying the Reality Gap in Robotic Manipulation Tasks.

Jack Collins, David Howard, Jürgen Leitner

Proceedings of the International Conference on Robotics and Automation, 2019

Jointly Trained Variational Autoencoder for Multi-Modal Sensor Fusion.

Timo Korthals, Marc Hesse, Jürgen Leitner, Andrew Melnik, Ulrich Rückert

Proceedings of the 22th International Conference on Information Fusion, 2019

2018

Guest Editorial Open Discussion of Robot Grasping Benchmarks, Protocols, and Metrics.

Jeffrey Mahler, Robert Platt Jr., Alberto Rodriguez, Matei T. Ciocarlie, Aaron M. Dollar, Renaud Detry, Máximo A. Roa, Holly A. Yanco, Adam Norton, Joe Falco, Karl Van Wyk, Elena Messina, Jürgen Leitner, Douglas Morrison, Matthew T. Mason, Oliver Brock, Lael Odhner, Andrey Kurenkov, Matthew Matl, Ken Goldberg

IEEE Trans Autom. Sci. Eng., 2018

Special issue on deep learning in robotics.

Niko Sünderhauf, Jürgen Leitner, Ben Upcroft, Nicholas Roy

Int. J. Robotics Res., 2018

The limits and potentials of deep learning for robotics.

Niko Sünderhauf, Oliver Brock, Walter J. Scheirer, Raia Hadsell, Dieter Fox, Jürgen Leitner, Ben Upcroft, Pieter Abbeel, Wolfram Burgard, Michael Milford, Peter Corke

Int. J. Robotics Res., 2018

Expert systems: Special issue on "Machine Learning Methods Neural Networks applied to Vision and Robotics (MLMVR)".

José García Rodríguez, Sergio Escalera, Alexandra Psarrou, Isabelle Guyon, Andrew Lewis, Juxi Leitner

Expert Syst. J. Knowl. Eng., 2018

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

Robert Lee, Serena Mou, Vibhavari Dasagi, Jake Bruce, Jürgen Leitner, Niko Sünderhauf

CoRR, 2018

Coordinated Heterogeneous Distributed Perception based on Latent Space Representation.

Timo Korthals, Jürgen Leitner, Ulrich Rückert

CoRR, 2018

Closing the Loop for Robotic Grasping: A Real-time, Generative Grasp Synthesis Approach.

Douglas Morrison, Juxi Leitner, Peter Corke

Proceedings of the Robotics: Science and Systems XIV, 2018

Towards vision-based manipulation of plastic materials.

Andrea Cherubini, Jürgen Leitner, Valerio Ortenzi, Peter Corke

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.

Douglas Morrison, Adam W. Tow, M. McTaggart, R. Smith, N. Kelly-Boxall, Sean Wade-McCue, J. Erskine, R. Grinover, A. Gurman, T. Hunn, D. Lee, Anton Milan, Trung Pham, G. Rallos, A. Razjigaev, T. Rowntree, K. Vijay, Zheyu Zhuang, Christopher F. Lehnert, Ian David Reid, Peter I. Corke, Jürgen Leitner

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

Semantic Segmentation from Limited Training Data.

Anton Milan, Trung Pham, K. Vijay, Douglas Morrison, Adam W. Tow, L. Liu, J. Erskine, R. Grinover, A. Gurman, T. Hunn, N. Kelly-Boxall, D. Lee, M. McTaggart, G. Rallos, A. Razjigaev, T. Rowntree, T. Shen, R. Smith, Sean Wade-McCue, Zheyu Zhuang, Christopher F. Lehnert, Guosheng Lin, Ian David Reid, Peter I. Corke, Jürgen Leitner

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

Training Deep Neural Networks for Visual Servoing.

Quentin Bateux, Éric Marchand, Jürgen Leitner, François Chaumette, Peter Corke

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.

Sean Wade-McCue, N. Kelly-Boxall, M. McTaggart, Douglas Morrison, Adam W. Tow, J. Erskine, R. Grinover, A. Gurman, T. Hunn, D. Lee, Anton Milan, Trung Pham, G. Rallos, A. Razjigaev, T. Rowntree, R. Smith, K. Vijay, Zheyu Zhuang, Christopher F. Lehnert, Ian David Reid, Peter I. Corke, Jürgen Leitner

CoRR, 2017

Cartman: Cartesian Manipulator for Warehouse Automation in Cluttered Environments.

M. McTaggart, Douglas Morrison, Adam W. Tow, R. Smith, Norton Kelly-Boxall, Anton Milan, Trung Pham, Zheyu Zhuang, Jürgen Leitner, Ian David Reid, Peter Corke, Christopher F. Lehnert

CoRR, 2017

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

Fangyi Zhang, Jürgen Leitner, Michael Milford, Peter Corke

CoRR, 2017

What Would You Do? Acting by Learning to Predict.

Adam W. Tow, Niko Sünderhauf, Sareh Shirazi, Michael Milford, Jürgen Leitner

CoRR, 2017

Visual Servoing from Deep Neural Networks.

Quentin Bateux, Éric Marchand, Jürgen Leitner, François Chaumette

CoRR, 2017

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

Jürgen Leitner, Adam W. Tow, Niko Sünderhauf, Jake E. Dean, Joseph W. Durham, Matthew Cooper, Markus Eich, Christopher F. Lehnert, Ruben Mangels, Christopher McCool, Peter T. Kujala, Lachlan Nicholson, Trung Pham, James Sergeant, Liao Wu, Fangyi Zhang, Ben Upcroft, Peter I. Corke

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

Tuning Modular Networks with Weighted Losses for Hand-Eye Coordination.

Fangyi Zhang, Jürgen Leitner, Michael Milford, Peter I. Corke

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

Richardson-Lucy Deblurring for Moving Light Field Cameras.

Donald G. Dansereau, Anders P. Eriksson, Jürgen Leitner

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.

Jürgen Leitner

Genet. Program. Evolvable Mach., 2016

A Modular Software Framework for Eye-Hand Coordination in Humanoid Robots.

Jürgen Leitner, Simon Harding, Alexander Förster, Peter Corke

Frontiers Robotics AI, 2016

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

Fangyi Zhang, Jürgen Leitner, Ben Upcroft, Peter I. Corke

CoRR, 2016

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

Jürgen Leitner, Adam W. Tow, Jake E. Dean, Niko Sünderhauf, Joseph W. Durham, Matthew Cooper, Markus Eich, Christopher F. Lehnert, Ruben Mangels, Christopher McCool, Peter Kujala, Lachlan Nicholson, Trung Pham, James Sergeant, Fangyi Zhang, Ben Upcroft, Peter I. Corke

CoRR, 2016

Motion Deblurring for Light Fields.

Donald G. Dansereau, Anders P. Eriksson, Jürgen Leitner

CoRR, 2016

Interactive computational imaging for deformable object analysis.

Donald G. Dansereau, Surya P. N. Singh, Jürgen Leitner

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

A distributed robotic vision service.

William Chamberlain, Jürgen Leitner, Tom Drummond, Peter I. Corke

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

2015

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

Fangyi Zhang, Jürgen Leitner, Michael Milford, Ben Upcroft, Peter I. Corke

CoRR, 2015

2014

Improving robot vision models for object detection through interaction.

Jürgen Leitner, Alexander Förster, Jürgen Schmidhuber

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.

Jürgen Leitner, Mikhail Frank, Alexander Förster, Jürgen Schmidhuber

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.

Mikhail Frank, Jürgen Leitner, Marijn F. Stollenga, Alexander Förster, Jürgen Schmidhuber

Frontiers Neurorobotics, 2013

Task-relevant roadmaps: A framework for humanoid motion planning.

Marijn F. Stollenga, Leo Pape, Mikhail Frank, Jürgen Leitner, Alexander Förster, Jürgen Schmidhuber

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.

Jürgen Leitner, Simon Harding, Mikhail Frank, Alexander Förster, Jürgen Schmidhuber

Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

Humanoid learns to detect its own hands.

Jürgen Leitner, Simon Harding, Mikhail Frank, Alexander Förster, Jürgen Schmidhuber

Proceedings of the IEEE Congress on Evolutionary Computation, 2013

2012

Transferring spatial perception between robots operating in a shared workspace.

Jürgen Leitner, Simon Harding, Mikhail Frank, Alexander Förster, Jürgen Schmidhuber

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

The Modular Behavioral Environment for Humanoids and other Robots (MoBeE).

Mikhail Frank, Jürgen Leitner, Marijn F. Stollenga, Simon Harding, Alexander Förster, Jürgen Schmidhuber

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.

Jürgen Leitner, Pramod Chandrashekhariah, Simon Harding, Mikhail Frank, Gabriele Spina, Alexander Förster, Jochen Triesch, Jürgen Schmidhuber

Proceedings of the 2012 IEEE International Conference on Development and Learning and Epigenetic Robotics, 2012

MT-CGP: mixed type cartesian genetic programming.

Simon Harding, Vincent Graziano, Jürgen Leitner, Jürgen Schmidhuber

Proceedings of the Genetic and Evolutionary Computation Conference, 2012

An Integrated, Modular Framework for Computer Vision and Cognitive Robotics Research (icVision).

Jürgen Leitner, Simon Harding, Mikhail Frank, Alexander Förster, Jürgen Schmidhuber

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.

Jürgen Leitner

Proceedings of the Intelligent Robotics and Applications, Second International Conference, 2009