Article

On the effect of the user's background on communicating grasping commands

Authors:

Maria Ralph,

Medhat A. MoussaAuthors Info & Claims

HRI '06: Proceedings of the 1st ACM SIGCHI/SIGART conference on Human-robot interaction

Pages 353 - 354

https://doi.org/10.1145/1121241.1121312

Published: 02 March 2006 Publication History

Get Access

Abstract

In this paper, we investigate the impact of the user's background on their ability to communicate grasping commands to a robot. We conducted a study where a group of 15 non-technical users use natural language to instruct a robotic arm to grasp five small everyday objects. We found that users with less technical backgrounds choose simple more predictable commands over complex unpredictable movements. These users also required more time and commands to complete a grasping task compared to users with more technical backgrounds. Other results however suggest that the user's background is not the most critical factor. Individual preferences and learning approaches also appear to play a role in command choices.

References

[1]

W. Burgard, A. Cremers, D. Fox, D. Hahnel, G. Lakemeyer, D. Schulz, W. Steiner, and S. Thrun. Experiences with an interactive museum tour-guide robot. Artificial Intelligence, 114(1-2):3--55, 1999.

Digital Library

Google Scholar

[2]

M. A. Moussa and M. S. Kamel. An experimental approach to robotic grasping using a connectionist architecture and generic grasping functions IEEE Transactions on Systems, Man and Cybernetics, 28:239--253, 1998.

Digital Library

Google Scholar

[3]

J. Pineau, M. Montemerlo, M. Pollack, N. Roy, and S. Thrun. Towards robotic assistants in nursing homes: Challenges and results. Robotics and Autonomous Systems, 42(3-4):271--281, March 2003.

Crossref

Google Scholar

[4]

M. Ralph and M. Moussa. Human-robot interaction for robotic grasping: A pilot study. In Proceedings, IEEE/RSJ Int. Conf. on Intelligent Robots an Systems (IROS), pages 2146--2151, Edmonton, Canada, August 2005.

Crossref

Google Scholar

Cited By

View all

Ralph MMoussa M(2010)An integrated system for user-adaptive robotic graspingIEEE Transactions on Robotics10.1109/TRO.2010.204838626:4(698-709)Online publication date: 1-Aug-2010
https://dl.acm.org/doi/10.1109/TRO.2010.2048386
Ralph MMoussa M(2008)Toward a Natural Language Interface for Transferring Grasping Skills to RobotsIEEE Transactions on Robotics10.1109/TRO.2008.91544524:2(468-475)Online publication date: 1-Apr-2008
https://dl.acm.org/doi/10.1109/TRO.2008.915445

Index Terms

On the effect of the user's background on communicating grasping commands
1. Computer systems organization
  1. Embedded and cyber-physical systems
    1. Robotics
2. Computing methodologies
  1. Artificial intelligence
    1. Control methods
      1. Robotic planning
    2. Planning and scheduling
      1. Robotic planning

Recommendations

Toward a Natural Language Interface for Transferring Grasping Skills to Robots

In this paper, we report on the findings of a human-robot interaction study that aims at developing a communication language for transferring grasping skills from a nontechnical user to a robot. Participants with different backgrounds and education ...
An integrated system for user-adaptive robotic grasping

This paper presents an integrated system that combines learning, a natural-language interface, and robotic grasping to enable the transfer of grasping skills from nontechnical users to robots. The system consists of two parts: a natural-language ...
Commands Guide Tutorial for SolidWorks 2011

Comments

Information & Contributors

Information

Published In

HRI '06: Proceedings of the 1st ACM SIGCHI/SIGART conference on Human-robot interaction

March 2006

376 pages

ISBN:1595932941

DOI:10.1145/1121241

General Chair:
Michael A. Goodrich
Brigham Young University USA
,
Program Chairs:
Alan C. Schultz
Naval Research Laboratory, USA
,
David J. Bruemmer
Idaho National Laboratory, USA

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 02 March 2006

Permissions

Request permissions for this article.

Request Permissions

Check for updates

Author Tags

Qualifiers

Article

Conference

HRI06

Sponsor:

HRI06: International Conference on Human Robot Interaction

March 2 - 3, 2006

Utah, Salt Lake City, USA

Acceptance Rates

Overall Acceptance Rate 268 of 1,124 submissions, 24%

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

2
Total Citations
View Citations
171
Total Downloads

Downloads (Last 12 months)1
Downloads (Last 6 weeks)1

Reflects downloads up to 01 Mar 2025

Other Metrics

View Author Metrics

Citations

Cited By

View all

Ralph MMoussa M(2010)An integrated system for user-adaptive robotic graspingIEEE Transactions on Robotics10.1109/TRO.2010.204838626:4(698-709)Online publication date: 1-Aug-2010
https://dl.acm.org/doi/10.1109/TRO.2010.2048386
Ralph MMoussa M(2008)Toward a Natural Language Interface for Transferring Grasping Skills to RobotsIEEE Transactions on Robotics10.1109/TRO.2008.91544524:2(468-475)Online publication date: 1-Apr-2008
https://dl.acm.org/doi/10.1109/TRO.2008.915445

View Options

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Full Access

Get this Publication

View options

PDF

View or Download as a PDF file.

PDF

eReader

View online with eReader.

eReader

Abstract

References

Cited By

Index Terms

Recommendations

Toward a Natural Language Interface for Transferring Grasping Skills to Robots

An integrated system for user-adaptive robotic grasping

Commands Guide Tutorial for SolidWorks 2011

Comments

Information

Published In

Sponsors

Publisher

Publication History

Permissions

Check for updates

Author Tags

Qualifiers

Conference

Acceptance Rates

Contributors

Other Metrics

Bibliometrics

Article Metrics

Other Metrics

Citations

Cited By

Login options

Full Access

View options

PDF

eReader

Share

Share this Publication link

Share on social media

Affiliations