Jürgen Leitner

According to our database1, Jürgen Leitner authored at least 42 papers between 2009 and 2018.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

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Bibliography

2018
Guest Editorial Open Discussion of Robot Grasping Benchmarks, Protocols, and Metrics.
IEEE Trans. Automation Science and Engineering, 2018

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

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

Multi-View Picking: Next-best-view Reaching for Improved Grasping in Clutter.
CoRR, 2018

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

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

The Limits and Potentials of Deep Learning for Robotics.
CoRR, 2018

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

Semantic Segmentation from Limited Training Data.
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

Semantic Segmentation from Limited Training Data.
CoRR, 2017

Cartman: The low-cost Cartesian Manipulator that won the Amazon Robotics Challenge.
CoRR, 2017

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

Tuning Modular Networks with Weighted Losses for Hand-Eye Coordination.
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.
Genetic Programming and Evolvable Machines, 2016

A Modular Software Framework for Eye-Hand Coordination in Humanoid Robots.
Front. Robotics and 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
Curiosity driven reinforcement learning for motion planning on humanoids.
Front. Neurorobot., 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
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


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