Robot Formations for Area Coverage. - Jürgen Leitner (ICIRA, 2009)

An Integrated, Modular Framework for Computer Vision and Cognitive Robotics Research (icVision). - Jürgen Leitner; Simon Harding; Mikhail Frank; Alexander Förster; Jürgen Schmidhuber (BICA, 2012)

MT-CGP: mixed type cartesian genetic programming. - Simon Harding; Vincent Graziano; Jürgen Leitner; Jürgen Schmidhuber (GECCO, 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 (ICDL-EPIROB, 2012)

The Modular Behavioral Environment for Humanoids and other Robots (MoBeE). - Mikhail Frank; Jürgen Leitner; Marijn F. Stollenga; Simon Harding; Alexander Förster; Jürgen Schmidhuber (ICINCO (2), 2012)

Transferring spatial perception between robots operating in a shared workspace. - Jürgen Leitner; Simon Harding; Mikhail Frank; Alexander Förster; Jürgen Schmidhuber (IROS, 2012)

Humanoid learns to detect its own hands. - Jürgen Leitner; Simon Harding; Mikhail Frank; Alexander Förster; Jürgen Schmidhuber (IEEE Congress on Evolutionary Computation, 2013)

Artificial neural networks for spatial perception: Towards visual object localisation in humanoid robots. - Jürgen Leitner; Simon Harding; Mikhail Frank; Alexander Förster; Jürgen Schmidhuber (IJCNN, 2013)

Task-relevant roadmaps: A framework for humanoid motion planning. - Marijn F. Stollenga; Leo Pape; Mikhail Frank; Jürgen Leitner; Alexander Förster; Jürgen Schmidhuber (IROS, 2013)

Curiosity driven reinforcement learning for motion planning on humanoids. - Mikhail Frank; Jürgen Leitner; Marijn F. Stollenga; Alexander Förster; Jürgen Schmidhuber (Frontiers Neurorobotics, 2013)

Reactive Reaching and Grasping on a Humanoid - Towards Closing the Action-Perception Loop on the iCub. - Jürgen Leitner; Mikhail Frank; Alexander Förster; Jürgen Schmidhuber (ICINCO (1), 2014)

Improving robot vision models for object detection through interaction. - Jürgen Leitner; Alexander Förster; Jürgen Schmidhuber (IJCNN, 2014)

Towards Vision-Based Deep Reinforcement Learning for Robotic Motion Control. - Fangyi Zhang; Jürgen Leitner; Michael Milford; Ben Upcroft; Peter I. Corke (CoRR, 2015)

A distributed robotic vision service. - William Chamberlain; Jürgen Leitner; Tom Drummond; Peter I. Corke (ICRA, 2016)

Interactive computational imaging for deformable object analysis. - Donald G. Dansereau; Surya P. N. Singh; Jürgen Leitner (ICRA, 2016)

Motion Deblurring for Light Fields. - Donald G. Dansereau; Anders P. Eriksson; Jürgen Leitner (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 005; Markus Eich; Christopher F. Lehnert; Ruben Mangels; Christopher McCool; Peter Kujala; Lachlan Nicholson; et al. (CoRR, 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)

A Modular Software Framework for Eye-Hand Coordination in Humanoid Robots. - Jürgen Leitner; Simon Harding; Alexander Förster; Peter Corke (Frontiers Robotics AI, 2016)

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

Richardson-Lucy Deblurring for Moving Light Field Cameras. - Donald G. Dansereau; Anders P. Eriksson; Jürgen Leitner (CVPR Workshops, 2017)

Tuning Modular Networks with Weighted Losses for Hand-Eye Coordination. - Fangyi Zhang; Jürgen Leitner; Michael Milford; Peter I. Corke (CVPR Workshops, 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 005; Markus Eich; Christopher F. Lehnert; Ruben Mangels; Christopher McCool; Peter T. Kujala; Lachlan Nicholson; et al. (ICRA, 2017)

Visual Servoing from Deep Neural Networks. - Quentin Bateux; Éric Marchand; Jürgen Leitner; François Chaumette (CoRR, 2017)

What Would You Do? Acting by Learning to Predict. - Adam W. Tow; Niko Sünderhauf; Sareh Shirazi; Michael Milford; Jürgen Leitner (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)

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)

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; et al. (CoRR, 2017)

Training Deep Neural Networks for Visual Servoing. - Quentin Bateux; Éric Marchand; Jürgen Leitner; François Chaumette; Peter Corke (ICRA, 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; et al. (ICRA, 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; et al. (ICRA, 2018)

Towards vision-based manipulation of plastic materials. - Andrea Cherubini; Jürgen Leitner; Valerio Ortenzi; Peter Corke (IROS, 2018)

Closing the Loop for Robotic Grasping: A Real-time, Generative Grasp Synthesis Approach. - Douglas Morrison; Juxi Leitner; Peter Corke (Robotics: Science and Systems, 2018)

Coordinated Heterogeneous Distributed Perception based on Latent Space Representation. - Timo Korthals; Jürgen Leitner; Ulrich Rückert 001 (CoRR, 2018)

Zero-shot Sim-to-Real Transfer with Modular Priors. - Robert Lee; Serena Mou; Vibhavari Dasagi; Jake Bruce; Jürgen Leitner; Niko Sünderhauf (CoRR, 2018)

Expert systems: Special issue on "Machine Learning Methods Neural Networks applied to Vision and Robotics (MLMVR)". - José García Rodríguez 001; Sergio Escalera; Alexandra Psarrou; Isabelle Guyon; Andrew Lewis; Juxi Leitner (Expert Syst. J. Knowl. Eng., 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)

Special issue on deep learning in robotics. - Niko Sünderhauf; Jürgen Leitner; Ben Upcroft; Nicholas Roy (Int. J. Robotics Res., 2018)

Guest Editorial Open Discussion of Robot Grasping Benchmarks, Protocols, and Metrics. - Jeffrey Mahler; Robert Platt Jr. 001; Alberto Rodriguez 003; Matei T. Ciocarlie; Aaron M. Dollar; Renaud Detry; Máximo A. Roa; Holly A. Yanco; Adam Norton; Joe Falco; Karl Van Wyk; Elena Messina; et al. (IEEE Trans Autom. Sci. Eng., 2018)

Jointly Trained Variational Autoencoder for Multi-Modal Sensor Fusion. - Timo Korthals; Marc Hesse; Jürgen Leitner; Andrew Melnik; Ulrich Rückert 001 (FUSION, 2019)

Quantifying the Reality Gap in Robotic Manipulation Tasks. - Jack Collins; David Howard 001; Jürgen Leitner (ICRA, 2019)

Multi-Modal Generative Models for Learning Epistemic Active Sensing. - Timo Korthals; Daniel Rudolph; Jürgen Leitner; Marc Hesse; Ulrich Rückert 001 (ICRA, 2019)

Multi-View Picking: Next-best-view Reaching for Improved Grasping in Clutter. - Douglas Morrison; Peter Corke; Jürgen Leitner (ICRA, 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 (IROS, 2019)

Ctrl-Z: Recovering from Instability in Reinforcement Learning. - Vibhavari Dasagi; Jake Bruce; Thierry Peynot; 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)

Evaluating task-agnostic exploration for fixed-batch learning of arbitrary future tasks. - Vibhavari Dasagi; Robert Lee; Jake Bruce; Jürgen Leitner (CoRR, 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)

Picking the right robotics challenge. - Jürgen Leitner (Nat. Mach. Intell., 2019)

Robotic manipulation and the role of the task in the metric of success. - Valerio Ortenzi; Marco Controzzi; Francesca Cini; Jürgen Leitner; Matteo Bianchi 002; Máximo A. Roa; Peter Corke (Nat. Mach. Intell., 2019)

Learning Arbitrary-Goal Fabric Folding with One Hour of Real Robot Experience. - Robert Lee; Daniel Ward; Vibhavari Dasagi; Akansel Cosgun; Juxi Leitner; Peter Corke (CoRL, 2020)

Traversing the Reality Gap via Simulator Tuning. - Jack Collins; Ross Brown 001; Jürgen Leitner; David Howard 001 (CoRR, 2020)

Special Issue on Deep Learning for Robotic Vision. - Anelia Angelova; Gustavo Carneiro 001; Niko Sünderhauf; Jürgen Leitner (Int. J. Comput. Vis., 2020)

Learning robust, real-time, reactive robotic grasping. - Douglas Morrison; Peter Corke; Jürgen Leitner (Int. J. Robotics Res., 2020)

Benchmarking Simulated Robotic Manipulation Through a Real World Dataset. - Jack Collins; Jessie McVicar; David Wedlock; Ross Brown 001; David Howard 001; Jürgen Leitner (IEEE Robotics Autom. Lett., 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)

Passing Through Narrow Gaps with Deep Reinforcement Learning. - Brendan Tidd; Akansel Cosgun; Jürgen Leitner; Nicolas Hudson (IROS, 2021)

Learning When to Switch: Composing Controllers to Traverse a Sequence of Terrain Artifacts. - Brendan Tidd; Akansel Cosgun; Jürgen Leitner; Nicolas Hudson (IROS, 2021)

Follow the Gradient: Crossing the Reality Gap using Differentiable Physics (RealityGrad). - Jack Collins; Ross Brown 001; Jürgen Leitner; David Howard 001 (CoRR, 2021)

Integrating High-Resolution Tactile Sensing into Grasp Stability Prediction. - Lachlan Chumbley; Morris Gu; Rhys Newbury; Jürgen Leitner; Akansel Cosgun (CRV, 2022)

DGBench: An Open-Source, Reproducible Benchmark for Dynamic Grasping. - Ben Burgess-Limerick; Chris Lehnert; Jürgen Leitner; Peter Corke (IROS, 2022)

Eyes on the Prize: Improved Perception for Robust Dynamic Grasping. - Ben Burgess-Limerick; Chris Lehnert; Jürgen Leitner; Peter Corke (CoRR, 2022)

Learning Setup Policies: Reliable Transition Between Locomotion Behaviours. - Brendan Tidd; Nicolas Hudson; Akansel Cosgun; Jürgen Leitner (IEEE Robotics Autom. Lett., 2022)

An Architecture for Reactive Mobile Manipulation On-The-Move. - Ben Burgess-Limerick; Chris Lehnert; Jürgen Leitner; Peter Corke (ICRA, 2023)

Enabling Failure Recovery for On-The-Move Mobile Manipulation. - Ben Burgess-Limerick; Chris Lehnert; Jürgen Leitner; Peter Corke (CoRR, 2023)

ROSO: Improving Robotic Policy Inference via Synthetic Observations. - Yusuke Miyashita; Dimitris Gahtidis; Colin La; Jeremy Rabinowicz; Jürgen Leitner (CoRR, 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, 2023)

OphNet: A Large-Scale Video Benchmark for Ophthalmic Surgical Workflow Understanding. - Ming Hu; Peng Xia 005; Lin Wang 027; Siyuan Yan; Feilong Tang; Zhongxing Xu; Yimin Luo; Kaimin Song; Jürgen Leitner; Xuelian Cheng; Jun Cheng; Chi Liu 002; et al. (ECCV (4), 2024)

Feedback-Induced Performance Decline in LLM-Based Decision-Making. - Xiao Yang; Juxi Leitner; Michael Burke (CoRR, 2025)