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Making Robotic Sense of Incomplete Human Instructions in High-level Programming for Industrial Robotic Assembly

Stenmark, Maj LU ; Haage, Mathias LU ; Topp, Elin A. LU and Malec, Jacek LU (2017) AAAI-17 Workshop on Human-Machine Collaborative Learning, AAAI HMCL 2017 p.691-695
Abstract
In this paper we describe our NLP supported programming-by-demonstration approach to high-level robot programming that allows users to generate skills and robot program primitives for later refinement and re-use. Our ideas incorporate the identification of common user strategies (interaction patterns) in the programming process, which can be exploited to support a human user in establishing common ground with a robotic system. We have evaluated a prototype implementation of this approach in a user study and use observations from this study to define further research efforts, which we discuss in this short paper.
Please use this url to cite or link to this publication:
author
organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
host publication
The Workshops of the Thirty-First AAAI Conference on Artificial Intelligence
pages
691 - 695
publisher
AAAI Press
conference name
AAAI-17 Workshop on Human-Machine Collaborative Learning, AAAI HMCL 2017
conference location
San Francisco, United States
conference dates
2017-02-04 - 2017-02-04
ISBN
978-1-57735-786-5
language
English
LU publication?
yes
id
e08cdbe0-083d-4197-9603-366f4f7ff534
alternative location
https://aaai.org/ocs/index.php/WS/AAAIW17/paper/view/15152
date added to LUP
2016-12-15 15:48:39
date last changed
2019-01-18 14:50:57
@inproceedings{e08cdbe0-083d-4197-9603-366f4f7ff534,
  abstract     = {In this paper we describe our NLP supported programming-by-demonstration approach to high-level robot programming that allows users to generate skills and robot program primitives for later refinement and re-use. Our ideas incorporate the identification of common user strategies (interaction patterns) in the programming process, which can be exploited to support a human user in establishing common ground with a robotic system. We have evaluated a prototype implementation of this approach in a user study and use observations from this study to define further research efforts, which we discuss in this short paper.},
  author       = {Stenmark, Maj and Haage, Mathias and Topp, Elin A. and Malec, Jacek},
  isbn         = {978-1-57735-786-5},
  language     = {eng},
  location     = {San Francisco, United States},
  pages        = {691--695},
  publisher    = {AAAI Press},
  title        = {Making Robotic Sense of Incomplete Human Instructions in High-level Programming for Industrial Robotic Assembly},
  year         = {2017},
}