Learning Deep Movement Primitives using Convolutional Neural Networks

Pervez, Affan and Mao, Yuecheng and Lee, Dongheui (2017) Learning Deep Movement Primitives using Convolutional Neural Networks. In: IEEE-RAS International Conference on Humanoid Robots. HUMANOIDS 2017, 2017-11-15 - 2017-11-17, Birmingham, United Kingdom. doi: 10.1109/HUMANOIDS.2017.8246874. ISBN 978-1-5386-4679-3. ISSN 2164-0580.

Full text not available from this repository.

Item URL in elib:

https://elib.dlr.de/117913/

Document Type:

Conference or Workshop Item (Speech)

Title:

Learning Deep Movement Primitives using Convolutional Neural Networks

Authors:

Authors	Institution or Email of Authors	Author's ORCID iD	ORCID Put Code
Pervez, Affan	TUM	UNSPECIFIED	UNSPECIFIED
Mao, Yuecheng	UNSPECIFIED	UNSPECIFIED	UNSPECIFIED
Lee, Dongheui	UNSPECIFIED	https://orcid.org/0000-0003-1897-7664	UNSPECIFIED

Date:

2017

Journal or Publication Title:

IEEE-RAS International Conference on Humanoid Robots

Refereed publication:

Yes

Open Access:

Gold Open Access:

In SCOPUS:

Yes

In ISI Web of Science:

DOI:

10.1109/HUMANOIDS.2017.8246874

ISSN:

2164-0580

ISBN:

978-1-5386-4679-3

Status:

Published

Keywords:

deep learning, dynamic movement primitives, convolutional neural networks

Event Title:

HUMANOIDS 2017

Event Location:

Birmingham, United Kingdom

Event Type:

international Conference

Event Start Date:

15 November 2017

Event End Date:

17 November 2017

HGF - Research field:

Aeronautics, Space and Transport

HGF - Program:

Space

HGF - Program Themes:

Space System Technology

DLR - Research area:

Raumfahrt

DLR - Program:

R SY - Space System Technology

DLR - Research theme (Project):

R - Terrestrial Assistance Robotics (old)

Location:

Oberpfaffenhofen

Institutes and Institutions:

Institute of Robotics and Mechatronics (since 2013)

Deposited By:

Lee, Prof. Dongheui

Deposited On:

07 Jan 2018 22:37

Last Modified:

13 Aug 2024 12:13

Repository Staff Only: item control page