Domain Randomization for Sim2real Transfer of Automatically Generated Grasping Datasets
Author:
Affiliation:
1. Sorbonne Université,CNRS, Institut des Systèmes Intelligents et de Robotique (ISIR),Paris,France,75005
Funder
Ministry of Education
Agence Nationale de la Recherche
Horizon Europe
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10609961/10609862/10610677.pdf?arnumber=10610677
Reference43 articles.
1. A gripping problem: designing machines that can grasp and manipulate objects with anything approaching human levels of dexterity is first on the to-do list for robotics;Hodson;Nature,2018
2. Constructing Force- Closure Grasps
3. Robotic grasping from classical to modern: A survey;Zhang,2022
4. Quality Diversity under Sparse Reward and Sparse Interaction: Application to Grasping in Robotics;Huber,2023
5. From One Hand to Multiple Hands: Imitation Learning for Dexterous Manipulation From Single-Camera Teleoperation
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