| The Limits and Potentials of Deep Learning for Robotics N Suenderhauf, O Brock, W Scheirer, R Hadsell, D Fox, J Leitner, ... The International Journal of Robotics Research (IJRR) 37 (4-5), 2018 | 674 | 2018 |
| Closing the Loop for Robotic Grasping: A Real-time, Generative Grasp Synthesis Approach D Morrison, P Corke, J Leitner Robotics: Science and Systems, 2018 | 660 | 2018 |
| Learning Robust, Real-time, Reactive Robotic Grasping D Morrison, P Corke, J Leitner The International Journal of Robotics Research (IJRR) 39 (2-3), 2019 | 433 | 2019 |
| Towards Vision-Based Deep Reinforcement Learning for Robotic Motion Control F Zhang, J Leitner, M Milford, B Upcroft, P Corke Australasian Conference on Robotics and Automation (ACRA), 2015 | 377 | 2015 |
| Cartman: The low-cost Cartesian Manipulator that won the Amazon Robotics Challenge D Morrison, AW Tow, M McTaggart, R Smith, N Kelly-Boxall, ... IEEE International Conference on Robotics and Automation (ICRA), 2018 | 193 | 2018 |
| Training deep neural networks for visual servoing Q Bateux, E Marchand, J Leitner, F Chaumette, P Corke IEEE international conference on robotics and automation (ICRA), 3307-3314, 2018 | 167 | 2018 |
| Deep learning approaches to grasp synthesis: A review R Newbury, M Gu, L Chumbley, A Mousavian, C Eppner, J Leitner, J Bohg, ... IEEE Transactions on Robotics 39 (5), 3994-4015, 2023 | 157 | 2023 |
| Egad! an evolved grasping analysis dataset for diversity and reproducibility in robotic manipulation D Morrison, P Corke, J Leitner IEEE Robotics and Automation Letters 5 (3), 4368-4375, 2020 | 154 | 2020 |
| Curiosity Driven Reinforcement Learning for Motion Planning on Humanoids M Frank, J Leitner, M Stollenga, A Förster, J Schmidhuber Frontiers in Neurorobotics 7, 25, 2014 | 128 | 2014 |
| The ACRV picking benchmark (APB): A robotic shelf picking benchmark to foster reproducible research J Leitner, AW Tow, JE Dean, N Suenderhauf, JW Durham, M Cooper, ... IEEE International Conference on Robotics and Automation (ICRA), 4705-4712, 2016 | 95 | 2016 |
| Adversarial Discriminative Sim-to-real Transfer of Visuo-motor Policies F Zhang, J Leitner, Z Ge, M Milford, P Corke The International Journal of Robotics Research (IJRR) - arXiv preprint arXiv …, 2019 | 90* | 2019 |
| Multi-View Picking: Next-best-view Reaching for Improved Grasping in Clutter D Morrison, P Corke, J Leitner IEEE International Conference on Robotics and Automation (ICRA) - preprint …, 2019 | 86 | 2019 |
| Multi-robot cooperation in space: A survey J Leitner 2009 Advanced Technologies for Enhanced Quality of Life, 144-151, 2009 | 84 | 2009 |
| Cartesian genetic programming for image processing S Harding, J Leitner, J Schmidhuber Genetic Programming Theory and Practice X, 2013 | 83 | 2013 |
| Learning Arbitrary-Goal Fabric Folding with One Hour of Real Robot Experience R Lee, D Ward, A Cosgun, V Dasagi, P Corke, J Leitner Conference on Robot Learning (CoRL), 2020 | 73 | 2020 |
| Quantifying the Reality Gap in Robotic Manipulation Tasks J Collins, D Howard, J Leitner ICRA -- arXiv preprint arXiv:1811.01484, 2019 | 70 | 2019 |
| Semantic segmentation from limited training data A Milan, T Pham, K Vijay, D Morrison, AW Tow, L Liu, J Erskine, ... IEEE International Conference on Robotics and Automation (ICRA), 1908-1915, 2018 | 69 | 2018 |
| MT-CGP: Mixed Type Cartesian Genetic Programming S Harding, V Graziano, J Leitner, J Schmidhuber 14th Annual Genetic and Evolutionary Computation Conference (GECCO), 2012 | 49 | 2012 |
| Visual Servoing from Deep Neural Networks Q Bateux, E Marchand, J Leitner, F Chaumette, P Corke Workshop on New Frontiers in Deep Learning for Robotic, 2017 | 44 | 2017 |
| Modular deep q networks for sim-to-real transfer of visuo-motor policies F Zhang, J Leitner, M Milford, P Corke Australasian Conference on Robotics and Automation (ACRA), arXiv preprint …, 2017 | 41 | 2017 |
Peter CorkeQueensland University of Technology (QUT)qut.edu.au의 이메일 확인됨