MAT: Multi-Fingered Adaptive Tactile Grasping via Deep Reinforcement
Learning

MAT: Multi-Fingered Adaptive Tactile Grasping via Deep Reinforcement Learning

10 September 2019

Iretiayo Akinola

Papers citing "MAT: Multi-Fingered Adaptive Tactile Grasping via Deep Reinforcement Learning"

10 / 10 papers shown

Title
Adaptive Motion Planning for Multi-fingered Functional Grasp via Force Feedback Dongying Tian Xiangbo Lin Yi Sun 24 3 0 22 Jan 2024
TIAGo RL: Simulated Reinforcement Learning Environments with Tactile Data for Mobile Robots Luca Lach Francesco Ferro R. Haschke 21 2 0 13 Nov 2023
Bio-Inspired Grasping Controller for Sensorized 2-DoF Grippers Luca Lach Séverin Lemaignan Francesco Ferro Helge J. Ritter R. Haschke 21 3 0 13 Nov 2023
REBOOT: Reuse Data for Bootstrapping Efficient Real-World Dexterous Manipulation Zheyuan Hu Aaron Rovinsky Jianlan Luo Vikash Kumar Abhishek Gupta Sergey Levine OffRL 22 9 0 06 Sep 2023
Planning Visual-Tactile Precision Grasps via Complementary Use of Vision and Touch Martin Matak Tucker Hermans 26 14 0 16 Dec 2022
Grasp Stability Prediction with Sim-to-Real Transfer from Tactile Sensing Zilin Si Zirui Zhu Arpit Agarwal Stuart Anderson Wenzhen Yuan 24 33 0 04 Aug 2022
Action Conditioned Tactile Prediction: case study on slip prediction Willow Mandil Kiyanoush Nazari E. AmirGhalamzan 27 16 0 19 May 2022
Factory: Fast Contact for Robotic Assembly Yashraj S. Narang Kier Storey Iretiayo Akinola Miles Macklin Philipp Reist ... Ádám Moravánszky Gavriel State Michelle Lu Ankur Handa Dieter Fox 32 75 0 07 May 2022
Task-grasping from human demonstration Daichi Saito Kazuhiro Sasabuchi Naoki Wake Jun Takamatsu Hideki Koike Katsushi Ikeuchi 29 8 0 01 Mar 2022
Sim-to-Real for Robotic Tactile Sensing via Physics-Based Simulation and Learned Latent Projections Yashraj S. Narang Balakumar Sundaralingam Miles Macklin Arsalan Mousavian Dieter Fox 30 58 0 31 Mar 2021