Making Robotic Sense of Incomplete Human Instructions in High-level Programming for Industrial Robotic Assembly
(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:
https://lup.lub.lu.se/record/e08cdbe0-083d-4197-9603-366f4f7ff534
- author
- Stenmark, Maj
LU
; Haage, Mathias
LU
; Topp, Elin A.
LU
and Malec, Jacek LU
- organization
- publishing date
- 2017
- 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
- external identifiers
-
- scopus:85044444132
- ISBN
- 978-1-57735-786-5
- project
- SARAFun—Smart Assembly Robot with Advanced FUNctionalities
- 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
- 2022-04-24 20:13:25
@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}}, booktitle = {{The Workshops of the Thirty-First AAAI Conference on Artificial Intelligence}}, isbn = {{978-1-57735-786-5}}, language = {{eng}}, pages = {{691--695}}, publisher = {{AAAI Press}}, title = {{Making Robotic Sense of Incomplete Human Instructions in High-level Programming for Industrial Robotic Assembly}}, url = {{https://aaai.org/ocs/index.php/WS/AAAIW17/paper/view/15152}}, year = {{2017}}, }