Jürgen Leitner

82 papers A* 10A 8B 3C 1Journal 51Unranked 9

Year	Rank	Type	Title / Venue / Authors
2024	—	`conf`	OphNet: A Large-Scale Video Benchmark for Ophthalmic Surgical Workflow Understanding. ECCV (4) 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
2024	J	`jnl`	OphNet: A Large-Scale Video Benchmark for Ophthalmic Surgical Workflow Understanding. CoRR 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
2023	A*	`conf`	An Architecture for Reactive Mobile Manipulation On-The-Move. ICRA Ben Burgess-Limerick, Chris Lehnert, Jürgen Leitner, Peter Corke
2023	J	`jnl`	Deep Learning Approaches to Grasp Synthesis: A Review. IEEE Trans. Robotics Rhys Newbury, Morris Gu, Lachlan Chumbley, Arsalan Mousavian, Clemens Eppner, Jürgen Leitner, Jeannette Bohg, Antonio Morales, Tamim Asfour, Danica Kragic, Dieter Fox, Akansel Cosgun
2023	J	`jnl`	Enabling Failure Recovery for On-The-Move Mobile Manipulation. CoRR Ben Burgess-Limerick, Chris Lehnert, Jürgen Leitner, Peter Corke
2023	J	`jnl`	ROSO: Improving Robotic Policy Inference via Synthetic Observations. CoRR Yusuke Miyashita, Dimitris Gahtidis, Colin La, Jeremy Rabinowicz, Jürgen Leitner
2022	J	`jnl`	An Architecture for Reactive Mobile Manipulation On-The-Move. CoRR Ben Burgess-Limerick, Chris Lehnert, Jürgen Leitner, Peter Corke
2022	A	`conf`	DGBench: An Open-Source, Reproducible Benchmark for Dynamic Grasping. IROS Ben Burgess-Limerick, Chris Lehnert, Jürgen Leitner, Peter Corke
2022	J	`jnl`	Deep Learning Approaches to Grasp Synthesis: A Review. CoRR Rhys Newbury, Morris Gu, Lachlan Chumbley, Arsalan Mousavian, Clemens Eppner, Jürgen Leitner, Jeannette Bohg, Antonio Morales, Tamim Asfour, Danica Kragic, Dieter Fox, Akansel Cosgun
2022	J	`jnl`	Eyes on the Prize: Improved Perception for Robust Dynamic Grasping. CoRR Ben Burgess-Limerick, Chris Lehnert, Jürgen Leitner, Peter Corke
2022	—	`conf`	Integrating High-Resolution Tactile Sensing into Grasp Stability Prediction. CRV Lachlan Chumbley, Morris Gu, Rhys Newbury, Jürgen Leitner, Akansel Cosgun
2022	J	`jnl`	Integrating High-Resolution Tactile Sensing into Grasp Stability Prediction. CoRR Lachlan Chumbley, Morris Gu, Rhys Newbury, Jürgen Leitner, Akansel Cosgun
2022	J	`jnl`	Learning Setup Policies: Reliable Transition Between Locomotion Behaviours. IEEE Robotics Autom. Lett. Brendan Tidd, Nicolas Hudson, Akansel Cosgun, Jürgen Leitner
2021	J	`jnl`	Follow the Gradient: Crossing the Reality Gap using Differentiable Physics (RealityGrad). CoRR Jack Collins, Ross Brown, Jürgen Leitner, David Howard
2021	J	`jnl`	Learning Setup Policies: Reliable Transition Between Locomotion Behaviours. CoRR Brendan Tidd, Nicolas Hudson, Akansel Cosgun, Jürgen Leitner
2021	A	`conf`	Learning When to Switch: Composing Controllers to Traverse a Sequence of Terrain Artifacts. IROS Brendan Tidd, Akansel Cosgun, Jürgen Leitner, Nicolas Hudson
2021	A	`conf`	Passing Through Narrow Gaps with Deep Reinforcement Learning. IROS Brendan Tidd, Akansel Cosgun, Jürgen Leitner, Nicolas Hudson
2021	J	`jnl`	Passing Through Narrow Gaps with Deep Reinforcement Learning. CoRR Brendan Tidd, Akansel Cosgun, Jürgen Leitner, Nicolas Hudson
2020	J	`jnl`	Benchmarking Simulated Robotic Manipulation Through a Real World Dataset. IEEE Robotics Autom. Lett. Jack Collins, Jessie McVicar, David Wedlock, Ross Brown, David Howard, Jürgen Leitner
2020	J	`jnl`	EGAD! An Evolved Grasping Analysis Dataset for Diversity and Reproducibility in Robotic Manipulation. IEEE Robotics Autom. Lett. Douglas Morrison, Peter Corke, Jürgen Leitner
2020	J	`jnl`	EGAD! an Evolved Grasping Analysis Dataset for diversity and reproducibility in robotic manipulation. CoRR Douglas Morrison, Peter Corke, Jürgen Leitner
2020	J	`jnl`	Learning Arbitrary-Goal Fabric Folding with One Hour of Real Robot Experience. CoRR Robert Lee, Daniel Ward, Akansel Cosgun, Vibhavari Dasagi, Peter Corke, Jürgen Leitner
2020	J	`jnl`	Learning When to Switch: Composing Controllers to Traverse a Sequence of Terrain Artifacts. CoRR Brendan Tidd, Nicolas Hudson, Akansel Cosgun, Jürgen Leitner
2020	J	`jnl`	Learning robust, real-time, reactive robotic grasping. Int. J. Robotics Res. Douglas Morrison, Peter Corke, Jürgen Leitner
2020	J	`jnl`	Special Issue on Deep Learning for Robotic Vision. Int. J. Comput. Vis. Anelia Angelova, Gustavo Carneiro, Niko Sünderhauf, Jürgen Leitner
2020	J	`jnl`	Traversing the Reality Gap via Simulator Tuning. CoRR Jack Collins, Ross Brown, Jürgen Leitner, David Howard
2019	J	`jnl`	A Perceived Environment Design using a Multi-Modal Variational Autoencoder for learning Active-Sensing. CoRR Timo Korthals, Malte Schilling, Jürgen Leitner
2019	J	`jnl`	Adversarial discriminative sim-to-real transfer of visuo-motor policies. Int. J. Robotics Res. Fangyi Zhang, Jürgen Leitner, Zongyuan Ge, Michael Milford, Peter Corke
2019	J	`jnl`	Benchmarking Simulated Robotic Manipulation through a Real World Dataset. CoRR Jack Collins, Jessie McVicar, David Wedlock, Ross Brown, David Howard, Jürgen Leitner
2019	J	`jnl`	Ctrl-Z: Recovering from Instability in Reinforcement Learning. CoRR Vibhavari Dasagi, Jake Bruce, Thierry Peynot, Jürgen Leitner
2019	J	`jnl`	Evaluating task-agnostic exploration for fixed-batch learning of arbitrary future tasks. CoRR Vibhavari Dasagi, Robert Lee, Jake Bruce, Jürgen Leitner
2019	C	`conf`	Jointly Trained Variational Autoencoder for Multi-Modal Sensor Fusion. FUSION Timo Korthals, Marc Hesse, Jürgen Leitner, Andrew Melnik, Ulrich Rückert
2019	A	`conf`	Learning Real-time Closed Loop Robotic Reaching from Monocular Vision by Exploiting A Control Lyapunov Function Structure. IROS Zheyu Zhuang, Jürgen Leitner, Robert E. Mahony
2019	A*	`conf`	Multi-Modal Generative Models for Learning Epistemic Active Sensing. ICRA Timo Korthals, Daniel Rudolph, Jürgen Leitner, Marc Hesse, Ulrich Rückert
2019	A*	`conf`	Multi-View Picking: Next-best-view Reaching for Improved Grasping in Clutter. ICRA Douglas Morrison, Peter Corke, Jürgen Leitner
2019	J	`jnl`	Picking the right robotics challenge. Nat. Mach. Intell. Jürgen Leitner
2019	A*	`conf`	Quantifying the Reality Gap in Robotic Manipulation Tasks. ICRA Jack Collins, David Howard, Jürgen Leitner
2019	J	`jnl`	Robotic manipulation and the role of the task in the metric of success. Nat. Mach. Intell. Valerio Ortenzi, Marco Controzzi, Francesca Cini, Jürgen Leitner, Matteo Bianchi, Máximo A. Roa, Peter Corke
2018	A*	`conf`	Cartman: The Low-Cost Cartesian Manipulator that Won the Amazon Robotics Challenge. ICRA 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
2018	J	`jnl`	Closing the Loop for Robotic Grasping: A Real-time, Generative Grasp Synthesis Approach. CoRR Douglas Morrison, Peter Corke, Jürgen Leitner
2018	J	`jnl`	Coordinated Heterogeneous Distributed Perception based on Latent Space Representation. CoRR Timo Korthals, Jürgen Leitner, Ulrich Rückert
2018	J	`jnl`	Guest Editorial Open Discussion of Robot Grasping Benchmarks, Protocols, and Metrics. IEEE Trans Autom. Sci. Eng. 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
2018	J	`jnl`	Multi-View Picking: Next-best-view Reaching for Improved Grasping in Clutter. CoRR Douglas Morrison, Peter Corke, Jürgen Leitner
2018	J	`jnl`	Quantifying the Reality Gap in Robotic Manipulation Tasks. CoRR Jack Collins, David Howard, Jürgen Leitner
2018	A*	`conf`	Semantic Segmentation from Limited Training Data. ICRA Anton Milan, Trung Pham, Kumar Vijay, Douglas Morrison, Adam W. Tow, Lingqiao Liu, Jordan Erskine, Riccardo Grinover, Alec Gurman, Thomas Hunn, Norton Kelly-Boxall, Darryl Qijun Lee, Matthew McTaggart, Gerald Rallos, Andrew Razjigaev, Thomas James Rowntree, Tong Shen, Rohan Smith, Sean Wade-McCue, Zheyu Zhuang, Christopher F. Lehnert, Guosheng Lin, Ian David Reid, Peter I. Corke, Jürgen Leitner
2018	J	`jnl`	Special issue on deep learning in robotics. Int. J. Robotics Res. Niko Sünderhauf, Jürgen Leitner, Ben Upcroft, Nicholas Roy
2018	J	`jnl`	The Limits and Potentials of Deep Learning for Robotics. CoRR Niko Sünderhauf, Oliver Brock, Walter J. Scheirer, Raia Hadsell, Dieter Fox, Jürgen Leitner, Ben Upcroft, Pieter Abbeel, Wolfram Burgard, Michael Milford, Peter Corke
2018	J	`jnl`	The limits and potentials of deep learning for robotics. Int. J. Robotics Res. Niko Sünderhauf, Oliver Brock, Walter J. Scheirer, Raia Hadsell, Dieter Fox, Jürgen Leitner, Ben Upcroft, Pieter Abbeel, Wolfram Burgard, Michael Milford, Peter Corke
2018	A	`conf`	Towards vision-based manipulation of plastic materials. IROS Andrea Cherubini, Jürgen Leitner, Valerio Ortenzi, Peter Corke
2018	A*	`conf`	Training Deep Neural Networks for Visual Servoing. ICRA Quentin Bateux, Éric Marchand, Jürgen Leitner, François Chaumette, Peter Corke
2018	J	`jnl`	Zero-shot Sim-to-Real Transfer with Modular Priors. CoRR Robert Lee, Serena Mou, Vibhavari Dasagi, Jake Bruce, Jürgen Leitner, Niko Sünderhauf
2017	J	`jnl`	Cartman: Cartesian Manipulator for Warehouse Automation in Cluttered Environments. CoRR 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
2017	J	`jnl`	Cartman: The low-cost Cartesian Manipulator that won the Amazon Robotics Challenge. CoRR 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 D. Reid, Peter Corke, Jürgen Leitner
2017	J	`jnl`	Design of a Multi-Modal End-Effector and Grasping System: How Integrated Design helped win the Amazon Robotics Challenge. CoRR 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
2017	—	`conf`	Richardson-Lucy Deblurring for Moving Light Field Cameras. CVPR Workshops Donald G. Dansereau, Anders P. Eriksson, Jürgen Leitner
2017	J	`jnl`	Semantic Segmentation from Limited Training Data. CoRR Anton Milan, Trung Pham, Kumar Vijay, Douglas Morrison, Adam W. Tow, Lingqiao Liu, Jordan Erskine, Riccardo Grinover, Alec Gurman, Thomas Hunn, Norton Kelly-Boxall, Darryl Qijun Lee, Matthew McTaggart, Gerald Rallos, Andrew Razjigaev, Thomas James Rowntree, Tong Shen, Rohan Smith, Sean Wade-McCue, Zheyu Zhuang, Christopher F. Lehnert, Guosheng Lin, Ian D. Reid, Peter I. Corke, Jürgen Leitner
2017	J	`jnl`	Sim-to-real Transfer of Visuo-motor Policies for Reaching in Clutter: Domain Randomization and Adaptation with Modular Networks. CoRR Fangyi Zhang, Jürgen Leitner, Michael Milford, Peter Corke
2017	A*	`conf`	The ACRV picking benchmark: A robotic shelf picking benchmark to foster reproducible research. ICRA 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
2017	—	`conf`	Tuning Modular Networks with Weighted Losses for Hand-Eye Coordination. CVPR Workshops Fangyi Zhang, Jürgen Leitner, Michael Milford, Peter I. Corke
2017	J	`jnl`	Tuning Modular Networks with Weighted Losses for Hand-Eye Coordination. CoRR Fangyi Zhang, Jürgen Leitner, Michael Milford, Peter I. Corke
2017	J	`jnl`	Visual Servoing from Deep Neural Networks. CoRR Quentin Bateux, Éric Marchand, Jürgen Leitner, François Chaumette
2017	J	`jnl`	What Would You Do? Acting by Learning to Predict. CoRR Adam W. Tow, Niko Sünderhauf, Sareh Shirazi, Michael Milford, Jürgen Leitner
2016	J	`jnl`	A Modular Software Framework for Eye-Hand Coordination in Humanoid Robots. Frontiers Robotics AI Jürgen Leitner, Simon Harding, Alexander Förster, Peter Corke
2016	A*	`conf`	A distributed robotic vision service. ICRA William Chamberlain, Jürgen Leitner, Tom Drummond, Peter I. Corke
2016	A*	`conf`	Interactive computational imaging for deformable object analysis. ICRA Donald G. Dansereau, Surya P. N. Singh, Jürgen Leitner
2016	J	`jnl`	Malachy Eaton: Evolutionary humanoid robotics - Springer, 2015, ISBN 978-3-662-44598-3. Genet. Program. Evolvable Mach. Jürgen Leitner
2016	J	`jnl`	Motion Deblurring for Light Fields. CoRR Donald G. Dansereau, Anders P. Eriksson, Jürgen Leitner
2016	J	`jnl`	The ACRV Picking Benchmark (APB): A Robotic Shelf Picking Benchmark to Foster Reproducible Research. CoRR 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
2016	J	`jnl`	Vision-Based Reaching Using Modular Deep Networks: from Simulation to the Real World. CoRR Fangyi Zhang, Jürgen Leitner, Ben Upcroft, Peter I. Corke
2015	J	`jnl`	Towards Vision-Based Deep Reinforcement Learning for Robotic Motion Control. CoRR Fangyi Zhang, Jürgen Leitner, Michael Milford, Ben Upcroft, Peter I. Corke
2014	B	`conf`	Improving robot vision models for object detection through interaction. IJCNN Jürgen Leitner, Alexander Förster, Jürgen Schmidhuber
2014	—	`conf`	Reactive Reaching and Grasping on a Humanoid - Towards Closing the Action-Perception Loop on the iCub. ICINCO (1) Jürgen Leitner, Mikhail Frank, Alexander Förster, Jürgen Schmidhuber
2013	B	`conf`	Artificial neural networks for spatial perception: Towards visual object localisation in humanoid robots. IJCNN Jürgen Leitner, Simon Harding, Mikhail Frank, Alexander Förster, Jürgen Schmidhuber
2013	J	`jnl`	Curiosity driven reinforcement learning for motion planning on humanoids. Frontiers Neurorobotics Mikhail Frank, Jürgen Leitner, Marijn F. Stollenga, Alexander Förster, Jürgen Schmidhuber
2013	B	`conf`	Humanoid learns to detect its own hands. IEEE Congress on Evolutionary Computation Jürgen Leitner, Simon Harding, Mikhail Frank, Alexander Förster, Jürgen Schmidhuber
2013	A	`conf`	Task-relevant roadmaps: A framework for humanoid motion planning. IROS Marijn F. Stollenga, Leo Pape, Mikhail Frank, Jürgen Leitner, Alexander Förster, Jürgen Schmidhuber
2012	—	`conf`	An Integrated, Modular Framework for Computer Vision and Cognitive Robotics Research (icVision). BICA Jürgen Leitner, Simon Harding, Mikhail Frank, Alexander Förster, Jürgen Schmidhuber
2012	—	`conf`	Autonomous learning of robust visual object detection and identification on a humanoid. ICDL-EPIROB Jürgen Leitner, Pramod Chandrashekhariah, Simon Harding, Mikhail Frank, Gabriele Spina, Alexander Förster, Jochen Triesch, Jürgen Schmidhuber
2012	A	`conf`	MT-CGP: mixed type cartesian genetic programming. GECCO Simon Harding, Vincent Graziano, Jürgen Leitner, Jürgen Schmidhuber
2012	—	`conf`	The Modular Behavioral Environment for Humanoids and other Robots (MoBeE). ICINCO (2) Mikhail Frank, Jürgen Leitner, Marijn F. Stollenga, Simon Harding, Alexander Förster, Jürgen Schmidhuber
2012	A	`conf`	Transferring spatial perception between robots operating in a shared workspace. IROS Jürgen Leitner, Simon Harding, Mikhail Frank, Alexander Förster, Jürgen Schmidhuber
2009	—	`conf`	Robot Formations for Area Coverage. ICIRA Jürgen Leitner