My Publications My Papers

Here is a list of my publications in chronological order. You can also find me and my papers on Google Scholar. Most of them are related to my projects listed here and/or research work performed with the SpaceMaster Robotics Team, the Advanced Concepts Team or at the IDSIA Robotics Lab. A bib file with the bibtex entries for all my publications can be downloaded here.

2021 (3)

Eyes on the prize: A Perception System for Grasping Dynamic Objects. B Burgess-Limerick, C Lehnert, Jürgen Leitner, P Corke. IEEE Robotics and Automation Letters.

Passing Through Narrow Gaps with Deep Reinforcement Learning. B Tidd, A Cosgun, Jürgen Leitner, N Hudson. arXiv preprint arXiv:2103.03991

Learning Setup Policies: Reliable Transition Between Locomotion Behaviours. B Tidd, N Hudson, A Cosgun, Jürgen Leitner. arXiv preprint arXiv:2101.09391

2020 (6)

Learning Arbitrary-Goal Fabric Folding with One Hour of Real Robot Experience. R Lee, D Ward, A Cosgun, V Dasagi, P Corke, Jürgen Leitner. preprint arXiv:2011.00440.

Learning When to Switch: Composing Controllers to Traverse a Sequence of Terrain Artifacts. B Tidd, N Hudson, A Cosgun, Jürgen Leitner. preprint arXiv:2011.00440.

EGAD! an evolved grasping analysis dataset for diversity and reproducibility in robotic manipulation. D Morrison, P Corke, Jürgen Leitner. IEEE Robotics and Automation Letters 5 (3), 4368-4375.

Special issue on deep learning for robotic vision. Editors: A Angelova, G Carneiro, N Sünderhauf, Jürgen Leitner. International Journal of Computer Vision 128 (5), 1160-1161.

Traversing the Reality Gap via Simulator Tuning. J Collins, R Brown, Jürgen Leitner, D Howard. preprint arXiv:2003.01369.

Designing Cartman: A Cartesian Manipulator for the Amazon Robotics Challenge 2017. Jürgen Leitner, D Morrison, A Milan, N Kelly-Boxall, M McTaggart, AW Tow, PI Corke Advances on Robotic Item Picking, 125-148.
Book Webpage

2019 (10)

Evaluating task-agnostic exploration for fixed-batch learning of arbitrary future tasks. V Dasagi, R Lee, J Bruce, Jürgen Leitner. preprint arXiv:1911.08666.

Ctrl-Z: Recovering from Instability in Reinforcement Learning. V Dasagi, J Bruce, T Peynot, Jürgen Leitner. preprint arXiv:1910.03732.

Benchmarking Simulated Robotic Manipulation through a Real World Dataset. Jack Collins, Jessie McVicar, David Wedlock, Ross Brown, David Howard, Jürgen Leitner. Special Issue: Benchmarking Protocols for Robotic Manipulation for the IEEE Robotics and Automation Letters (RA-L), 5 (1), 250-257.

A Perceived Environment Design using a Multi-Modal Variational Autoencoder for learning Active-Sensing. Timo Korthals, M Schilling, Jürgen Leitner. arXiv preprint arXiv:1911.00584.

Sim-to-real transfer of robot learning with variable length inputs. V Dasagi, R Lee, S Mou, J Bruce, N Sünderhauf, Jürgen Leitner. Australasian Conference on Robotics and Automation 2019. December 2019.

Learning Real-time Closed Loop Robotic Reaching from Monocular Vision by Exploiting A Control Lyapunov Function Structure. Zheyu Zhuang, Jürgen Leitner, Robert Mahoney. IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). Macau, China. November 2019.
IEEE Xplore

Robotic manipulation and the role of the task in the metric of success. V. Ortenzi, M. Controzzi, F. Cini, Jürgen Leitner, M. Bianchi, M. A. Roa, P. Corke. Nature Machine Intelligence, 1 (8), 340-346, August 2019.
Nature [Reference] [DOI]

Learning Robust, Real-time, Reactive Robotic Grasping. Doug Morrison, Peter Corke, Jürgen Leitner. International Journal of Robotics Research (IJRR), OnlineFirst, 2019.
IJRR [DOI]

Adversarial Discriminative Sim-to-real Transfer of Visuo-motor Policies. Fangyi Zhang, Jürgen Leitner, Zongyan Ge, Michael Milford, Peter Corke. International Journal of Robotics Research (IJRR), OnlineFirst, 2019.
[Video]

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

Multi-Modal Generative Models for Learning Epistemic Active Sensing. Timo Korthals, Daniel Rudolph, Jürgen Leitner, Marc Hesse, Ulrich Rückert. International Conference on Robotics and Automation (ICRA). Montreal, Canada. May 2019.
[Poster]

Multi-View Picking: Next-best-view Reaching for Improved Grasping in Clutter. Doug Morrison, Peter Corke, Jürgen Leitner. International Conference on Robotics and Automation (ICRA). Montreal, Canada. May 2019.
[Preprint] [Video] [Code]

Quantifying the Reality Gap in Robotic Manipulation Tasks. Jack Collins, David Howard, Jürgen Leitner. International Conference on Robotics and Automation (ICRA). Montreal, Canada. May 2019.
[Preprint]

Multisensory Assisted In-hand Manipulation of Objects with a Dexterous Hand. Timo Korthals, Andrew Melnik Jürgen Leitner, Marc Hesse. ICRA2019ViTac (Workshop at ICRA). Montreal, Canada. May 2019.

Picking the right robotics challenge. Jürgen Leitner. Nature Machine Intelligence, 1 (3), 162, 2019.
Nature [preprint] [Reference] [DOI]

2018 (10)

Zero-shot Sim-to-Real Transfer with Modular Priors. Robert Lee, Serena Mou, Vibhavari Dasagi, Jake Bruce, Jürgen Leitner, Sunderhauf.

Design of a Multi-Modal End-Effector and Grasping System: How Integrated Design helped win the Amazon Robotics Challenge. N. Kelly-Boxall, D. Morrison, S. Wade-McCue, Peter Corke, Jürgen Leitner. Australasian Conference on Robotics and Automation (ACRA). Lincoln, New Zealand. December 2018.

Guest Editorial: Open Discussion of Robot Grasping Benchmarks, Protocols and Metrics. J. Mahler, R. Platt, A. Rodriguez, M. Ciocarlie, A. Dollar, R. Detry, M. Roa, H. Yanco, A. Norton, J. Falco, K. van Wyck, E. Messina, Jürgen Leitner, A. Kurenkov, M. Matl, K. Goldberg IEEE Transactions on Automation Science and Engineering, Vol: 15, Issue: 4, Oct 2018.
IEEE Xplore

Towards vision-based manipulation of plastic materials. Andrea Cherubini, Jürgen Leitner, Valerio Ortenzi, Peter Corke. IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). Madrid, Spain. October 2018.
[Preprint]

Closing the Loop for Robotic Grasping: A Real-time, Generative Grasp Synthesis Approach. Douglas Morrison, Peter Corke, Jürgen Leitner. Robotics: Science and Systems(R:SS). Pittsburgh, USA. June 2018.
[Preprint] [Video] [Code] [Poster] [Press] [Press] [Kinova Case Study]

Training Deep Neural Networks for Visual Servoing. Quentin Bateux, Eric Marchand, Jürgen Leitner, Francois Chaumette, Peter Corke. International Conference on Robotics and Automation (ICRA). Brisbane, Australia. May 2018.

Semantic Segmentation from Limited Training Data. Anton Milan, T. Pham, K. Vijay, D. Morrison, A. 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, S. Wade-McCue, Z. Zhuang, C. Lehnert, G. Lin, I. Reid, P. Corke, Jürgen Leitner. International Conference on Robotics and Automation (ICRA). Brisbane, Australia. May 2018.

Cartman: The low-cost Cartesian Manipulator that won the Amazon Robotics Challenge. Douglas Morrison, A.W. Tow, M. McTaggart, R. Smith, N. Kelly-Boxall, S. Wade-McCue, J. Erskine, R. Grinover, A. Gurman, T. Hunn, D. Lee, A. Milan, T. Pham, G. Rallos, A. Razjigaev, T. Rowntree, K. Vijay, Z. Zhuang, C. Lehnert, I. Reid, Peter Corke, Jürgen Leitner. International Conference on Robotics and Automation (ICRA). Brisbane, Australia. May 2018.
Webpage: http://Juxi.net/projects/AmazonRoboticsChallenge/
Finalist Amazon Best Systems Paper Award   [Preprint] [Poster] [Video 2min] [Video of Final Run during the Challenge, 26min]

The Limits and Potentials of Deep Learning for Robotics. Niko Sünderhauf, Oliver Brock, Walter Scheirer, Raia Hadsell, Dieter Fox, Jürgen Leitner, Ben Upcroft Pieter Abbeel, Wolfram Burgard, Michael Milford, Peter Corke. International Journal of Robotics Research (IJRR) Vol 37, Issue 4-5, 2018.
IJRR [Preprint] [DOI] [BibTeX Reference]

IJRR: Special Issue on Deep Learning in Robotics. Editors: Niko Sünderhauf, Jürgen Leitner, Ben Upcroft Nicholas Roy. International Journal of Robotics Research (IJRR) Vol 37, Issue 4-5, 2018.

2017 (13)

Design of a Multi-Modal End-Effector and Grasping System: How Integrated Design helped win the Amazon Robotics Challenge. S. Wade-McCue, N. Kelly-Boxall, ..., Peter Corke, Jürgen Leitner. (ACRV Tech. Report 2017-03)

Mechanical Design of a Cartesian Manipulator for Warehouse Pick and Place. M. McTaggart, D. Morrison, A.W. Tow, R. Smith, Norton Kelly-Boxall, Anton Milan, T. Pham Zheyu Zhuang, Jürgen Leitner, Ian Reid, Peter Corke, C. Lehnert. (Tech. Report on arXiv)

Modular Deep Q Networks for Sim-to-real Transfer of Visuo-motor Policies. Fangyi Zhang, Jürgen Leitner, Michael Milford, Peter Corke. Australasian Conference on Robotics and Automation (ACRA). Sydney. December 2017.
Finalist Best Paper   [Preprint] [Video]

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. (arXiv preprint)

Generative Perception for Robotic Grasping. Doug Morrison, Peter Corke, and Jürgen Leitner. "Towards robust grasping and manipulation skills for humanoids" Workshop at the IEEE RAS International Conference on Humanoid Robots. Birmingham, UK. July 2017.
[Abstract] [Poster]

Hierarchical Grasp Detection for Visually Challenging Environments. D. Morrison, N. Kelly-Boxall, S. Wade-McCue, P. Corke, and Jürgen Leitner. "Towards robust grasping and manipulation skills for humanoids" Workshop at the IEEE RAS International Conference on Humanoid Robots. Birmingham, UK. July 2017.
[Abstract] [Poster]

LunaRoo, jumping to new heights. Mark Fittock, Jürgen Leitner. International Astronautical Congress (IAC) / Space Exploration Symposium. Adelaide. September 2017.
Abstract

Exciting Students for Systems Programming Through the Use of Mobile Robots. Anna Förster, Alexander Förster, Jürgen Leitner. Tech Report. University of Bremen.
[preprint]

Richardson-Lucy Deblurring for Moving Light Field Cameras. Donald G. Dansereau, Anders Eriksson, Jürgen Leitner. Lightfields for Computer Vision Workshop at the Computer Vision and Pattern Recognition (CVPR) conference. Honolulu, USA. July 2017.
[Preprint]

Tuning Modular Networks with Weighted Losses for Hand-Eye Coordination. Fangyi Zhang, Jürgen Leitner, Michael Milford, Peter Corke. "Deep Learning for Robotic Vision" Workshop at the Computer Vision and Pattern Recognition (CVPR) conference. Honolulu, USA. July 2017.
[Preprint]

What Would You Do? Acting by Learning to Predict. Adam Tow, Niko Sünderhauf, Sareh Shirazi, Michael Milford, Jürgen Leitner. "Learning from Demonstration in High Dimensional Feature Spaces" Workshop at the Robotics: Systems and Science (RSS) conference. Boston, USA. July 2017.
[Preprint] [Video]

Visual Servoing from Deep Neural Networks. Quentin Bateux, Eric Marchand, Jürgen Leitner, Francois Chaumette, Peter Corke. "New Frontiers in Deep Learning for Robotics" Workshop at the Robotics: Systems and Science (RSS) conference. Boston, USA. July 2017.
[Preprint]

The ACRV Picking Benchmark: A Robotic Shelf Picking Benchmark to Foster Reproducible Research. Jürgen Leitner, Adam W. Tow, Jake E. Dean, Niko Suenderhauf, Joseph W. Durham, Matthew Cooper, Markus Eich, Christopher Lehnert, Ruben Mangels, Christopher McCool, Peter Kujala, Lachlan Nicholson, Trung Pham, James Sergeant, Liao Wu, Fangyi Zhang, Ben Upcroft, Peter Corke. International Conference on Robotics and Automation (ICRA). Singapore. May 2017.
Webpage: http://Juxi.net/dataset/apb/
[BibTeX Reference] [Preprint]

2016 (6)

A Robustness Analysis of Deep Q Networks. Adam Tow, Sareh Shirazi, Jürgen Leitner, Michael Milford, Ben Upcroft. Australian Conference on Robotics and Automation (ACRA). Brisbane, Australia. December 2016.
[BibTeX Reference] [ARAA Paper Download]

Designing a Robotic Hopping Cube for Lunar Exploration. Tim Hojnik, Robert Lee, Donald Dansereau,, Jürgen Leitner. Australian Conference on Robotics and Automation (ACRA). Brisbane, Australia. December 2016.
[BibTeX Reference] [ARAA Paper Download]

A Modular Software Framework for Eye-hand Coordination in Humanoid Robots. Jürgen Leitner, Simon Harding, Alexander Förster, Peter Corke. Frontiers in Robotics and AI, Vol. 3, Number 26, 2016.
[BibTeX Reference] DOI Frontiers

Interactive Computational Imaging for Deformable Object Analysis. Donald G. Dansereau, Surya PN Singh, Jürgen Leitner. International Conference on Robotics and Automation (ICRA). Stockholm, Sweden. May 2016.
[BibTeX Reference] [Interactive Poster]

A Distributed Robotic Vision Service. William Chamberlain, Jürgen Leitner, Tom Drummond, Peter Corke. International Conference on Robotics and Automation (ICRA). Stockholm, Sweden. May 2016.
[BibTeX Reference]

LunaRoo: Designing a Hopping Lunar Science Payload. Jürgen Leitner, W. Chamberlain, D. Dansereau, M. Dunbabin, M. Eich, T. Peynot, J. Roberts, R. Russell, N. Sünderhauf. IEEE Aerospace Conference. Big Sky, MT, USA. March 2016.
[BibTeX Reference]

2015 (5)

Towards Vision-Based Deep Reinforcement Learning for Robotic Motion Control. Fangyi Zhang, Jürgen Leitner, Michael Milford, Ben Upcroft, Peter Corke. Australian Conference on Robotics and Automation (ACRA). Canberra, Australia. December 2015.
[BibTeX Reference]

A Bottom-Up Integration of Vision and Actions To Create Cognitive Humanoids. Jürgen Leitner. in Cognitive Robotics, edited by Hooman Samani.
pp 191-214. ISBN: 978-1482244564. CRC Press, Francis and Taylor, 2015.
[BibTeX Reference] DOI CRC Press

The Need for Dynamic & Active Datasets.Jürgen Leitner, Donald G. Dansereau, Sareh Shirazi, Peter Corke. "The Future of Datasets in Vision" Workshop at the Computer Vision and Pattern Recognition (CVPR) conference. Boston, USA. June 2015.
[BibTeX Reference] [Poster] [Spotlight Slide]

Extending Visual Perception With Haptic Exploration for Improved Scene Understanding. Jürgen Leitner. "SUNw: Scene Understanding Workshop (SUNw)" at the Vision and Pattern Recognition (CVPR) conference. Boston, USA. June 2015.
[BibTeX Reference] [Poster]

LunaRoo: A Proposal for the Google Lunar XPrize Payload Opportunity with the Part Time Scientists team. Jürgen Leitner, W. Chamberlain, D. Dansereau, M. Dunbabin, M. Eich, T. Peynot, J. Roberts, R. Russell, N. Sünderhauf. QUT ePrints Tech Report. Apr 2015.

2014 (4)

Reactive Reaching and Grasping on a Humanoid: Towards Closing the Action-Perception Loop on the iCub. Jürgen Leitner, Mikhail Frank, Alexander Förster, Jürgen Schmidhuber. International Conference on Informatics in Control, Automation and Robotics (ICINCO). Vienna, Austria. September 2014.
[BibTeX Reference] IEEE Xplore

Improving Robot Vision Models for Object Detection Through Interaction. Jürgen Leitner, Alexander Förster, Jürgen Schmidhuber. World Congress on Computational Intelligence 2014 -- International Joint Conference on Neural Networks (IJCNN).
[BibTeX Reference] IEEE Xplore

Teleoperation of a 7 DOF Humanoid Robot Arm Using Human Arm Accelerations and EMG Signals. J Leitner, M Luciw, A Förster, J Schmidhuber. International Symposium on Artificial Intelligence, Robotics and Automation in Space (i-SAIRAS) 2014
[BibTeX Reference] Slides

Curiosity driven reinforcement learning for motion planning on humanoids. Mikhail Frank, Jürgen Leitner, Alexander Förster, Jürgen Schmidhuber. Frontiers in Neurorobotics, 7:25, 2014.
[BibTex Reference] DOI Frontiers

2013 (6)

Task-Relevant Roadmaps: A Framework for Humanoid Motion Planning. Marijn Stollenga, Leo Pape, Mikhail Frank, Jürgen Leitner, Alexander Förster, Jürgen Schmidhuber. IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). Tokyo, Japan. November 2013.
[BibTeX Reference] DOI IEEE Xplore

ALife in Humanoids: Developing a Framework to Employ Artificial Life Techniques for High-Level Perception and Cognition Tasks on Humanoid Robots. Jürgen Leitner, Simon Harding, Mikhail Frank, Alexander Förster, Jürgen Schmidhuber. "Artificial Life Based Models of Higher Cognition" Workshop at the European Conference on Artificial Life (ECAL). Taormina, Italy. September 2013.
[BibTeX Reference] Slides

Artificial Neural Networks For Spatial Perception: Towards Visual Object Localisation in Humanoid Robots. Jürgen Leitner, Simon Harding, Mikhail Frank, Alexander Förster, Jürgen Schmidhuber. International Joint Conference on Neural Networks (IJCNN). Dallas, USA. August 2013.
[BibTeX Reference] DOI IEEE Xplore Slides

Learning Visual Object Detection and Localisation Using icVision. Jürgen Leitner, Simon Harding, Pramod Chandrashekhariah, Mikhail Frank, Alexander Förster, Jochen Triesch, Jürgen Schmidhuber. Biologically Inspired Cognitive Architectures, Vol. 5, 2013.
[BibTeX Reference] DOI Elsevier

Humanoid Learns to Detect Its Own Hands. Jürgen Leitner, Simon Harding, Mikhail Frank, Alexander Förster, Jürgen Schmidhuber. IEEE Congress on Evolutionary Computing (CEC). Cancun, Mexico. June 2013.
[BibTeX Reference] DOI Slides

Cartesian Genetic Programming for Image Processing (CGP-IP). Simon Harding, Jürgen Leitner, Jürgen Schmidhuber. In Genetic Programming Theory and Practice X, Genetic and Evolutionary Computation.
pp 31-44. ISBN: 978-1-4614-6845-5. Springer, Ann Arbor, 2013.
[BibTeX Reference] DOI Springer

2012 (10)

Cartesian Genetic Programming for Image Processing and Robot Vision. J. Leitner, S. Harding, A. Förster, J. Schmidhuber. IEEE Robotics & Automation Society Summer School on "Robot Vision and Applications". Santiago, Chile. December 2012.
extended abstract webpage

Learning Spatial Object Localization from Vision on a Humanoid Robot. Jürgen Leitner, Simon Harding, Mikhail Frank, Alexander Förster, Jürgen Schmidhuber. International Journal of Advanced Robotic Systems (ARS), Vol. 9, 2012.
[BibTeX Reference] DOI InTech

Autonomous Learning Of Robust Visual Object Detection And Identification On A Humanoid. J. Leitner, P. Chandrashekhariah, S. Harding, M. Frank, G. Spina, A. Förster, J. Triesch, J. Schmidhuber. IEEE Conference on Development and Learning (ICDL) and Epigenetic Robotics (EpiRob). San Diego, USA. November 2012.
Paper of Excellence Award   [BibTeX Reference] DOI IEEE Xplore Slides

An Integrated, Modular Framework for Computer Vision and Cognitive Robotics Research (icVision). Jürgen Leitner, Simon Harding, Mikhail Frank, Alexander Förster, Jürgen Schmidhuber. In Biologically Inspired Cognitive Architectures 2012: A Chella, et. al (eds.)
Advances in Intelligent Systems and Computing (Vol. 196), pp. 205-210. Springer Berlin Heidelberg, 2013.
(presented at the Int'l Conference on Biologically Inspired Cognitive Architectures (BICA). Palermo, Italy. November 2012.)
[BibTeX Reference] DOI SpringerLink

Transferring Spatial Perception Between Robots Operating In A Shared Workspace. Jürgen Leitner, Simon Harding, Mikhail Frank, Alexander Förster, Jürgen Schmidhuber. IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). Vilamoura, Portugal. October 2012.
[BibTeX Reference] DOI IEEE Xplore Slides

Towards Spatial Perception: Learning to Locate Objects From Vision. J Leitner, S Harding, M Frank, A Förster, J Schmidhuber. Postgraduate Conference on Robotics and Development of Cognition (RobotDoC-PhD). Lausanne, Switzerland. September 2012.
[BibTeX Reference] DOI Slides

Mars Terrain Image Classification using Cartesian Genetic Programming. J. Leitner, S. Harding, A. Förster, Jürgen Schmidhuber. 11th International Symposium on Artificial Intelligence, Robotics and Automation in Space (i-SAIRAS). Torino, Italy. September 2012.
[BibTex Reference] Slides

The Modular Behavioral Environment for Humanoids & other Robots (MoBeE). Mikhail Frank, Jürgen Leitner, Marijn Stollenga, Gregor Kaufmann, Simon Harding, Alexander Förster, Jürgen Schmidhuber. 9th International Conference on Informatics in Control, Automation and Robotics (ICINCO). Rome, Italy. July 2012.
[BibTeX Reference]

MT-CGP: Mixed Type Cartesian Genetic Programming. S. Harding, V. Graziano, J. Leitner, Jürgen Schmidhuber. Genetic and Evolutionary Computation Conference (GECCO). Philadelphia, USA. July 2012.
[BibTeX Reference] DOI

icVision: A Modular Vision System for Cognitive Robotics Research. J. Leitner, S. Harding, M. Frank, A. Förster, J. Schmidhuber. 5th International Conference on Cognitive Systems (CogSys). Vienna, Austria. February 2012.
[BibTeX Reference]

2011 (2)

Artificial Curiosity for Autonomous Space Exploration. Vincent Graziano, Tobias Glasmachers, Tom Schaul, Leo Pape, Giuseppe Cuccu, Jürgen Leitner and Jürgen Schmidhuber. Acta Futura, 4, pp. 41-52, 2011.
[BibTeX Reference] DOI

CUDA Massively Parallel Trajectory Evolution. M. Kashif Kaleem, Jürgen Leitner. GPUs for Genetic and Evolutionary Computation Competition (GPGPU) at the Genetic and Evolutionary Computation Conference (GECCO). Dublin, Ireland. July 2011.
project webpage

2010 (3)

Evolving ANNs for Spacecraft Rendezvous and Docking. Jürgen Leitner, Christos Ampatzis, Dario Izzo. 10th International Symposium on Artificial Intelligence, Robotics and Automation in Space (i-SAIRAS). Sapporo, Japan. August 2010.
[BibTeX Reference]

On Cooperation in a Multi Robot Society for Space Exploration. David Leal Martínez, Jürgen Leitner. 10th International Symposium on Artificial Intelligence, Robotics and Automation in Space (i-SAIRAS). Sapporo, Japan. August 2010.
[BibTeX Reference]

Simulating Resource Sharing In Spacecraft Clusters Using Multi-Agent-Systems. Jürgen Leitner. Small Satellites Systems and Services - The 4S Symposium 2010. Funchal, Madeira. June 2010.
[BibTeX Reference]

2009 (5)

Robot Formations for Area Coverage. Jürgen Leitner. Second International Conference on Intelligent Robotics and Applications (ICIRA). Singapore. December 2009.
[BibTeX Reference] SpringerLink

Multi-Robot Cooperation in Space: A Survey. Jürgen Leitner. Advanced Technologies for Enhanced Quality of Life (AT-EQUAL), pp. 144-151. 2009.
(presented at the 2nd ECSIS Symposium on Learning and Adaptive Behavior in Robotic Systems (LAB-RS), Iaşi, Romania.)
[BibTeX Reference] DOI

Project SMURFS - A Society of Multiple Robots. David Leal Martínez, Jürgen Leitner. Mobile Robots Workshop. AAAI/International Joint Conference on Artificial Intelligence (IJCAI). Pasadena, USA. July 2009.
PubInfo

A Survey of Multi-Robot Cooperation in Space. Jürgen Leitner. Automation, Robotics and Control Systems (ARCS-09) Conference. Orlando, USA. July 2009.
PubInfo © ISRST

The REEL-E Project (HALE launch campaign) - Results and Lessons Learned. Jürgen Leitner, David Leal Martínez. Austrian Space Applications Program. Wien, Austria. June 2009.

2008 (2)

A Benchmark on Stereo Disparity Estimation for Humanoid Robots. Jürgen Leitner, Alexandre Bernardino, Josè Santos-Victor. 8th Conference on Autonomous Robot Systems and Competitions (Robotica). Aveiro, Portugal. April 2008.
[BibTeX Reference]

Universal Robot-Human-Operations Cooperative Unit. David Leal Martínez, Jürgen Leitner. Student Design Competition. 3rd Annual Human Robot Interaction Conference. Amsterdam, The Netherlands. March 2008.
project webpage

Student Theses/Reports

Learning Real-world Visuo-motor Policies from Simulation. Fangyi Zhang PhD thesis QUT. Brisbane, Australia. 2018.

Understanding GGP-IP. Ben Tregoning. Final Year Thesis QUT. Brisbane, Australia. Nov 2015.

Controlling Robots Using Vision and Bio Sensors. Hanlin Liang. Vacation Research Experience Scheme (VRES) QUT. Brisbane, Australia. Feb 2015.
together with Sareh Shirazi, Ben Upcroft

Monocular camera based real-time on-board obstacle avoidance for unmanned aerial vehicles. Jose Nicolás Velásquez Orozco. Master of Science Thesis USI. Lugano, Switzerland. Sep 2014.
together with Alexander Förster

Drone Piloting Study.Christine Graff. Bachelor of Science Thesis USI. Lugano, Switzerland. Jun 2014.
together with Alexander Förster