Quantifying the Reality Gap in Robotic Manipulation Tasks

v1v2 (latest)

Quantifying the Reality Gap in Robotic Manipulation Tasks

5 November 2018

ArXiv (abs)PDF HTML

Papers citing "Quantifying the Reality Gap in Robotic Manipulation Tasks"

12 / 12 papers shown

Title
Towards the Targeted Environment-Specific Evolution of Robot Components J. Collins Wade Geles David Howard Frederic Maire 51 26 0 11 Oct 2018
The Limits and Potentials of Deep Learning for Robotics Niko Sünderhauf Oliver Brock Walter J. Scheirer R. Hadsell Dieter Fox ... B. Upcroft Pieter Abbeel Wolfram Burgard Michael Milford Peter Corke 82 530 0 18 Apr 2018
The Surprising Creativity of Digital Evolution: A Collection of Anecdotes from the Evolutionary Computation and Artificial Life Research Communities Joel Lehman Jeff Clune D. Misevic C. Adami L. Altenberg ... Danesh Tarapore S. Thibault Westley Weimer R. Watson Jason Yosinksi 142 282 0 09 Mar 2018
Using Simulation and Domain Adaptation to Improve Efficiency of Deep Robotic Grasping Konstantinos Bousmalis A. Irpan Paul Wohlhart Yunfei Bai Matthew Kelcey ... Julian Ibarz P. Pastor K. Konolige Sergey Levine Vincent Vanhoucke OOD 97 656 0 22 Sep 2017
Transferring End-to-End Visuomotor Control from Simulation to Real World for a Multi-Stage Task Stephen James Andrew J. Davison Edward Johns 208 276 0 07 Jul 2017
Domain Randomization for Transferring Deep Neural Networks from Simulation to the Real World Joshua Tobin Rachel Fong Alex Ray Jonas Schneider Wojciech Zaremba Pieter Abbeel 267 2,973 0 20 Mar 2017
Modular Deep Q Networks for Sim-to-real Transfer of Visuo-motor Policies Fangyi Zhang Jurgen Leitner Michael Milford Peter Corke 84 39 0 21 Oct 2016
Learning Hand-Eye Coordination for Robotic Grasping with Deep Learning and Large-Scale Data Collection Sergey Levine P. Pastor A. Krizhevsky Deirdre Quillen 192 2,075 0 07 Mar 2016
Towards Vision-Based Deep Reinforcement Learning for Robotic Motion Control Fangyi Zhang Jurgen Leitner Michael Milford B. Upcroft Peter Corke 81 274 0 12 Nov 2015
Supersizing Self-supervision: Learning to Grasp from 50K Tries and 700 Robot Hours Lerrel Pinto Abhinav Gupta SSL 108 1,152 0 23 Sep 2015
End-to-End Training of Deep Visuomotor Policies Sergey Levine Chelsea Finn Trevor Darrell Pieter Abbeel BDL 315 3,444 0 02 Apr 2015
Deep Learning for Detecting Robotic Grasps Ian Lenz Honglak Lee Ashutosh Saxena 119 1,648 0 16 Jan 2013

We use cookies and other tracking technologies to improve your browsing experience on our website, to show you personalized content and targeted ads, to analyze our website traffic, and to understand where our visitors are coming from. See our policy.