Sim-to-Real Model-Based and Model-Free Deep Reinforcement Learning for
Tactile Pushing

Sim-to-Real Model-Based and Model-Free Deep Reinforcement Learning for Tactile Pushing

26 July 2023

David A.W. Barton

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Papers citing "Sim-to-Real Model-Based and Model-Free Deep Reinforcement Learning for Tactile Pushing"

16 / 16 papers shown

Title
Taxim: An Example-based Simulation Model for GelSight Tactile Sensors Zilin Si Wenzhen Yuan 78 99 0 09 Sep 2021
Tactile Sim-to-Real Policy Transfer via Real-to-Sim Image Translation Alex Church John Lloyd R. Hadsell Nathan Lepora 80 52 0 16 Jun 2021
Generation of GelSight Tactile Images for Sim2Real Learning D. F. Gomes Paolo Paoletti Shan Luo 66 87 0 18 Jan 2021
TACTO: A Fast, Flexible, and Open-source Simulator for High-Resolution Vision-based Tactile Sensors Shaoxiong Wang Mike Lambeta Po-wei Chou Roberto Calandra 67 142 0 15 Dec 2020
Tactile Object Pose Estimation from the First Touch with Geometric Contact Rendering Maria Bauzá Eric Valls Bryan Lim Theo Sechopoulos Alberto Rodriguez 123 78 0 09 Dec 2020
Keypoints into the Future: Self-Supervised Correspondence in Model-Based Reinforcement Learning Lucas Manuelli Yunzhu Li Peter R. Florence Russ Tedrake SSL 83 106 0 10 Sep 2020
Self-Adapting Recurrent Models for Object Pushing from Learning in Simulation Lin Cong Michael Görner Philipp Ruppel Hongzhuo Liang Norman Hendrich Jianwei Zhang 78 13 0 27 Jul 2020
Optimal Deep Learning for Robot Touch Nathan Lepora John Lloyd 87 51 0 04 Mar 2020
Visual Foresight: Model-Based Deep Reinforcement Learning for Vision-Based Robotic Control F. Ebert Chelsea Finn Sudeep Dasari Annie Xie Alex X. Lee Sergey Levine SSL 112 392 0 03 Dec 2018
Augmenting Physical Simulators with Stochastic Neural Networks: Case Study of Planar Pushing and Bouncing Anurag Ajay Jiajun Wu Nima Fazeli Maria Bauzá L. Kaelbling J. Tenenbaum Alberto Rodriguez 55 119 0 09 Aug 2018
A Data-Efficient Approach to Precise and Controlled Pushing Maria Bauzá F. Hogan Alberto Rodriguez AI4CE 63 59 0 26 Jul 2018
Learning Synergies between Pushing and Grasping with Self-supervised Deep Reinforcement Learning Andy Zeng Shuran Song Stefan Welker Johnny Lee Alberto Rodriguez Thomas Funkhouser SSL 89 570 0 27 Mar 2018
Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor Tuomas Haarnoja Aurick Zhou Pieter Abbeel Sergey Levine 317 8,406 0 04 Jan 2018
Combining Learned and Analytical Models for Predicting Action Effects from Sensory Data Alina Kloss S. Schaal Jeannette Bohg 63 86 0 11 Oct 2017
Uncertainty Averse Pushing with Model Predictive Path Integral Control Ermano Arruda Michael J. Mathew Marek Kopicki Michael N. Mistry M. Azad J. Wyatt 61 41 0 11 Oct 2017
Benchmarking in Manipulation Research: The YCB Object and Model Set and Benchmarking Protocols B. Çalli Aaron Walsman Arjun Singh S. Srinivasa Pieter Abbeel A. Dollar 90 294 0 10 Feb 2015

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