A Robust Data-Driven Approach for Online Learning and Manipulation of Unmodeled 3-D Heterogeneous Compliant Objects-Reference-Cited by-同舟云学术

A Robust Data-Driven Approach for Online Learning and Manipulation of Unmodeled 3-D Heterogeneous Compliant Objects

Published:2018-10 Issue:4 Volume:3 Page:4140-4147
ISSN:2377-3766
Container-title:IEEE Robotics and Automation Letters
language:
Short-container-title:IEEE Robot. Autom. Lett.

Author:

Alambeigi Farshid^ORCID,Wang Zerui^ORCID,Hegeman Rachel,Liu Yun-Hui^ORCID,Armand Mehran

Funder

NIH

NIBIB

HK RGC

HK ITF

Shun Hing Institute of Advanced Engineering

Chinese University of Hong Kong (CUHK)

CUHK T Stone Robotics Institute, CUHK

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Artificial Intelligence,Control and Optimization,Computer Science Applications,Computer Vision and Pattern Recognition,Mechanical Engineering,Human-Computer Interaction,Biomedical Engineering,Control and Systems Engineering

Link

http://xplorestaging.ieee.org/ielx7/7083369/8386768/08425628.pdf?arnumber=8425628

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