Recent Data Sets on Object Manipulation: A Survey-Reference-Cited by-同舟云学术

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Recent Data Sets on Object Manipulation: A Survey

Published:2016-12 Issue:4 Volume:4 Page:197-216
ISSN:2167-6461
Container-title:Big Data
language:en
Short-container-title:Big Data

Author:

Huang Yongqiang¹,Bianchi Matteo²,Liarokapis Minas³,Sun Yu¹

Affiliation:

1. Department of Computer Science and Engineering, University of South Florida, Tampa, Florida.

2. Research Center “E. Piaggio,” Dipartimento di Ingegneria dell'Informazione, University of Pisa, Pisa, Italy.

3. School of Engineering and Applied Science, Yale University, New Haven, Connecticut.

Publisher

Mary Ann Liebert Inc

Subject

Information Systems and Management,Computer Science Applications,Information Systems

Link

http://www.liebertpub.com/doi/pdf/10.1089/big.2016.0042

Reference60 articles.

1. The KIT whole-body human motion database

2. Robotic grasping for instrument manipulations

3. The YCB object and Model set: Towards common benchmarks for manipulation research

4. Learning dexterous grasps that generalise to novel objects by combining hand and contact models

5. Learning grasp stability based on tactile data and HMMs

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1. 3D-ARM-Gaze: a public dataset of 3D Arm Reaching Movements with Gaze information in virtual reality;Scientific Data;2024-08-30

2. Human manipulation strategy when changing object deformability and task properties;Scientific Reports;2024-07-09

3. Human manipulation strategy when changing object deformability and task properties;2024-02-09

4. 3D-ARM-Gaze: a public dataset of 3D Arm Reaching Movements with Gaze information in virtual reality;2024-01-31

5. A Real-Time Grasping Detection Network Architecture for Various Grasping Scenarios;IEEE Transactions on Neural Networks and Learning Systems;2024

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