Grasp Stability Prediction with Sim-to-Real Transfer from Tactile Sensing
Author:
Affiliation:
1. Robotics Institute, Carnegie Mellon University
2. Tsinghua University,Department of Electrical Engineering
3. Meta Reality Labs Research
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9981026/9981028/09981863.pdf?arnumber=9981863
Reference36 articles.
1. Tactile sim-to-real policy transfer via real-to-sim image translation;church;Conference on Robot Learning,2022
2. Benchmarking in Manipulation Research: Using the Yale-CMU-Berkeley Object and Model Set
3. TACTO: A Fast, Flexible, and Open-Source Simulator for High-Resolution Vision-Based Tactile Sensors
4. Improved GelSight tactile sensor for measuring geometry and slip
5. Simulation of Tactile Sensing Arrays for Physical Interaction Tasks
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2. An Electromagnetism-Inspired Method for Estimating In-Grasp Torque from Visuotactile Sensors;2024 IEEE International Conference on Robotics and Automation (ICRA);2024-05-13
3. Augmenting Tactile Simulators with Real-like and Zero-Shot Capabilities;2024 IEEE International Conference on Robotics and Automation (ICRA);2024-05-13
4. Multimodal Visual-Tactile Representation Learning through Self-Supervised Contrastive Pre-Training;2024 IEEE International Conference on Robotics and Automation (ICRA);2024-05-13
5. Tactile-Based Grasping Stability Prediction Based on Human Grasp Demonstration for Robot Manipulation;IEEE Robotics and Automation Letters;2024-03
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