Sim-to-Real Transfer of Accurate Grasping with Eye-In-Hand Observations and Continuous Control.
作者： Jan Kautz , Iuri Frosio , Stephen Tyree , Mengyuan Yan
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摘要: In the context of deep learning for robotics, we show effective method of training a real robot to grasp a tiny sphere (1.37 cm of diameter), with an original combination of system design …
arxiv.org
harvard.edu参考文章(19)
Ashutosh Saxena, Justin Driemeyer, Andrew Y. Ng, Robotic Grasping of Novel Objects using Vision The International Journal of Robotics Research. ,vol. 27, pp. 157- 173 ,(2008) , 10.1177/0278364907087172
Volodymyr Mnih, Koray Kavukcuoglu, David Silver, Andrei A Rusu, Joel Veness, Marc G Bellemare, Alex Graves, Martin Riedmiller, Andreas K Fidjeland, Georg Ostrovski, Stig Petersen, Charles Beattie, Amir Sadik, Ioannis Antonoglou, Helen King, Dharshan Kumaran, Daan Wierstra, Shane Legg, Demis Hassabis, None, Human-level control through deep reinforcement learning Nature. ,vol. 518, pp. 529- 533 ,(2015) , 10.1038/NATURE14236
N. Koenig, A. Howard, Design and use paradigms for Gazebo, an open-source multi-robot simulator intelligent robots and systems. ,vol. 3, pp. 2149- 2154 ,(2004) , 10.1109/IROS.2004.1389727
Yuval Tassa, Daan Wierstra, Alexander Pritzel, Tom Erez, Jonathan J. Hunt, Nicolas Heess, David Silver, Timothy P. Lillicrap, Continuous control with deep reinforcement learning arXiv: Learning. ,(2015)
David Silver, Aja Huang, Chris J Maddison, Arthur Guez, Laurent Sifre, George Van Den Driessche, Julian Schrittwieser, Ioannis Antonoglou, Veda Panneershelvam, Marc Lanctot, Sander Dieleman, Dominik Grewe, John Nham, Nal Kalchbrenner, Ilya Sutskever, Timothy Lillicrap, Madeleine Leach, Koray Kavukcuoglu, Thore Graepel, Demis Hassabis, None, Mastering the game of Go with deep neural networks and tree search Nature. ,vol. 529, pp. 484- 489 ,(2016) , 10.1038/NATURE16961
Alex Krizhevsky, Sergey Levine, Peter Pastor, Deirdre Quillen, Learning Hand-Eye Coordination for Robotic Grasping with Deep Learning and Large-Scale Data Collection arXiv: Learning. ,(2016)
Jeffrey Mahler, Florian T. Pokorny, Brian Hou, Melrose Roderick, Michael Laskey, Mathieu Aubry, Kai Kohlhoff, Torsten Kroger, James Kuffner, Ken Goldberg, Dex-Net 1.0: A cloud-based network of 3D objects for robust grasp planning using a Multi-Armed Bandit model with correlated rewards international conference on robotics and automation. pp. 1957- 1964 ,(2016) , 10.1109/ICRA.2016.7487342
Shixiang Gu, Sergey Levine, Ethan Holly, Timothy Lillicrap, Deep reinforcement learning for robotic manipulation ,(2017)
Yuval Tassa, Thomas Lampe, Martin A. Riedmiller, Tom Erez, Roland Hafner, Nicolas Heess, Matej Vecerík, Ivaylo Popov, Gabriel Barth-Maron, Timothy P. Lillicrap, Data-efficient Deep Reinforcement Learning for Dexterous Manipulation arXiv: Learning. ,(2017)
Edward Johns, Stephen James, Andrew J. Davison, Transferring End-to-End Visuomotor Control from Simulation to Real World for a Multi-Stage Task arXiv: Robotics. ,(2017)