Grasp It Like a Pro 2.0: A Data-Driven Approach Exploiting Basic Shape Decomposition and Human Data for Grasping Unknown Objects-Reference-Cited by-同舟云学术

Grasp It Like a Pro 2.0: A Data-Driven Approach Exploiting Basic Shape Decomposition and Human Data for Grasping Unknown Objects

Published:2023-10 Issue:5 Volume:39 Page:4016-4036
ISSN:1552-3098
Container-title:IEEE Transactions on Robotics
language:
Short-container-title:IEEE Trans. Robot.

Author:

Palleschi Alessandro¹^ORCID,Angelini Franco²^ORCID,Gabellieri Chiara³^ORCID,Park Do Won¹^ORCID,Pallottino Lucia¹^ORCID,Bicchi Antonio¹^ORCID,Garabini Manolo¹^ORCID

Affiliation:

1. Centro di Ricerca “Enrico Piaggio,”, Università di Pisa, Pisa, Italy

2. Dipartimento di Ingegneria dell'Informazione, Università di Pisa, Pisa, Italy

3. Robotics and Mechatronics Group, Faculty of Electrical Engineering, Mathematics and Computer Science, University of Twente, Enschede, AE, Netherlands

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Science Applications,Control and Systems Engineering

Link

http://xplorestaging.ieee.org/ielx7/8860/10271771/10169891.pdf?arnumber=10169891

Reference65 articles.

1. Leveraging big data for grasp planning

2. Data-Driven Grasp Synthesis—A Survey

3. The Closure Signature: A Functional Approach to Model Underactuated Compliant Robotic Hands

4. Grasp pose detection in point clouds;ten pas;Int J Robot Res,2017

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