Quantifying the Reality Gap in Robotic Manipulation Tasks

5 November 2018

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

9 / 9 papers shown

Title
Tolerance of Reinforcement Learning Controllers against Deviations in Cyber Physical Systems Changjian Zhang Parv Kapoor Eunsuk Kang Romulo Meira-Goes David Garlan Akila Ganlath Shatadal Mishra N. Ammar 47 0 0 24 Jun 2024
ROS-PyBullet Interface: A Framework for Reliable Contact Simulation and Human-Robot Interaction Christopher E. Mower Theodoros Stouraitis João Moura C. Rauch Lei Yan Nazanin Zamani Behabadi Michael Gienger Tom Kamiel Magda Vercauteren Christos Bergeles S. Vijayakumar 28 20 0 13 Oct 2022
Learning to Fold Real Garments with One Arm: A Case Study in Cloud-Based Robotics Research Ryan Hoque K. Shivakumar Shrey Aeron Gabriel Deza Aditya Ganapathi Adrian S. Wong Johnny Lee Andy Zeng Vincent Vanhoucke Ken Goldberg 33 21 0 21 Apr 2022
PokeRRT: Poking as a Skill and Failure Recovery Tactic for Planar Non-Prehensile Manipulation Anuj Pasricha Yi-Shiuan Tung Bradley Hayes Alessandro Roncone OnRL 15 12 0 31 Jan 2022
Follow the Gradient: Crossing the Reality Gap using Differentiable Physics (RealityGrad) J. Collins Ross Brown Jurgen Leitner David Howard AI4CE 32 4 0 10 Sep 2021
Traversing the Reality Gap via Simulator Tuning J. Collins Ross Brown Jurgen Leitner David Howard 41 14 0 03 Mar 2020
Neural Logic Reinforcement Learning Zhengyao Jiang Shan Luo NAI 27 71 0 24 Apr 2019
Transferring End-to-End Visuomotor Control from Simulation to Real World for a Multi-Stage Task Stephen James Andrew J. Davison Edward Johns 162 275 0 07 Jul 2017
Modular Deep Q Networks for Sim-to-real Transfer of Visuo-motor Policies Fangyi Zhang Jurgen Leitner Michael Milford Peter Corke 34 39 0 21 Oct 2016