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

Maj Stenmark; Mathias Haage; Elin A. Topp; Jacek Malec

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

Maj Stenmark, Mathias Haage, Elin A. Topp, Jacek Malec

Research output: Chapter in Book/Report/Conference proceeding › Paper in conference proceeding › peer-review

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.

Original language	English
Title of host publication	The Workshops of the Thirty-First AAAI Conference on Artificial Intelligence
Publisher	AAAI Press
Pages	691-695
ISBN (Print)	978-1-57735-786-5
Publication status	Published - 2017
Event	AAAI-17 Workshop on Human-Machine Collaborative Learning, AAAI HMCL 2017 - San Francisco, United States Duration: 2017 Feb 4 → 2017 Feb 4

Conference

Conference	AAAI-17 Workshop on Human-Machine Collaborative Learning, AAAI HMCL 2017
Country/Territory	United States
City	San Francisco
Period	2017/02/04 → 2017/02/04

Subject classification (UKÄ)

Robotics and automation

Access to Document

https://aaai.org/ocs/index.php/WS/AAAIW17/paper/view/15152Licence: Unspecified

SARAFun: SARAFun—Smart Assembly Robot with Advanced FUNctionalities
Johansson, R. (PI), Nilsson, K. (PI), Bagge Carlson, F. (Research student), Haage, M. (Researcher), Karlsson, M. (Research student), Malec, J. (Researcher), Robertsson, A. (Researcher), Stenmark, M. (Research student) & Topp, E. A. (Researcher)
2015/03/01 → 2018/02/28
Project: Research

Cite this

@inproceedings{e08cdbe0083d41979603366f4f7ff534,

title = "Making Robotic Sense of Incomplete Human Instructions in High-level Programming for Industrial Robotic Assembly",

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 = "Maj Stenmark and Mathias Haage and Topp, {Elin A.} and Jacek Malec",

year = "2017",

language = "English",

isbn = "978-1-57735-786-5",

pages = "691--695",

booktitle = "The Workshops of the Thirty-First AAAI Conference on Artificial Intelligence",

publisher = "AAAI Press",

address = "United States",

note = "AAAI-17 Workshop on Human-Machine Collaborative Learning, AAAI HMCL 2017 ; Conference date: 04-02-2017 Through 04-02-2017",

}

Stenmark, M , Haage, M , Topp, EA & Malec, J 2017, Making Robotic Sense of Incomplete Human Instructions in High-level Programming for Industrial Robotic Assembly. in The Workshops of the Thirty-First AAAI Conference on Artificial Intelligence. AAAI Press, pp. 691-695, AAAI-17 Workshop on Human-Machine Collaborative Learning, AAAI HMCL 2017 , San Francisco, United States, 2017/02/04. <https://aaai.org/ocs/index.php/WS/AAAIW17/paper/view/15152>

Making Robotic Sense of Incomplete Human Instructions in High-level Programming for Industrial Robotic Assembly. / Stenmark, Maj ; Haage, Mathias ; Topp, Elin A. et al.
The Workshops of the Thirty-First AAAI Conference on Artificial Intelligence. AAAI Press, 2017. p. 691-695.

Research output: Chapter in Book/Report/Conference proceeding › Paper in conference proceeding › peer-review

TY - GEN

T1 - Making Robotic Sense of Incomplete Human Instructions in High-level Programming for Industrial Robotic Assembly

AU - Stenmark, Maj

AU - Haage, Mathias

AU - Topp, Elin A.

AU - Malec, Jacek

PY - 2017

Y1 - 2017

N2 - 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.

AB - 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.

M3 - Paper in conference proceeding

SN - 978-1-57735-786-5

SP - 691

EP - 695

BT - The Workshops of the Thirty-First AAAI Conference on Artificial Intelligence

PB - AAAI Press

T2 - AAAI-17 Workshop on Human-Machine Collaborative Learning, AAAI HMCL 2017

Y2 - 4 February 2017 through 4 February 2017

ER -

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

Abstract

Conference

Subject classification (UKÄ)

Access to Document

Fingerprint

Projects

SARAFun: SARAFun—Smart Assembly Robot with Advanced FUNctionalities

Cite this