abstract

Tele-operated robot control using attitude aware smartphones

Authors:

Amber M. Walker,

David P. MillerAuthors Info & Claims

HRI '12: Proceedings of the seventh annual ACM/IEEE international conference on Human-Robot Interaction

Pages 269 - 270

https://doi.org/10.1145/2157689.2157788

Published: 05 March 2012 Publication History

Get Access

Abstract

Smartphones have put video communications, computation, and proprioceptive sensing (e.g. accelerometers and gyros) into the hands of hundreds of millions of consumers. These small, microelectromechanical systems can be used in many applications, including remote control. This study proposes using smartphones with proprioception as handheld robot controllers and aims to determine feasibility of accelerometers as control inputs for tele-operation while defining heuristics for use. Initial results indicate accelerometers are suitable for tele-operation commands, but identify specific design characteristics meriting further investigation.

References

[1]

One-Third of Mobile Phones to Use Accelerometers by 2010, Spurred by iPhone and Palm Pre. M2PressWIRE, 2009.

Google Scholar

[2]

Apple. iPhone Human Interface Guidelines, OCT 2011.

Google Scholar

[3]

J. Carlson and R. R. Murphy. How UGVs Physically Fail in the Field. IEEE Transactions on Robotics, 21(3):423--437, 2005.

Digital Library

Google Scholar

[4]

S. I. Erwin. Army under pressure to bring broadband to the battlefield. National Defense Magazine, September 2010.

Google Scholar

[5]

R. Gutierrez and J. Craighead. A Native iPhone Packbot OCU. In 2009 4th ACM/IEEE International Conference on Human-Robot Interaction, 2009.

Digital Library

Google Scholar

[6]

A. Krupnik. Radio Control with iPhone, 2011.

Google Scholar

[7]

M. Milian. U.S. Army may soon equip troops with smartphones. CNN, July 2011.

Google Scholar

[8]

Y. Park and S. Han. Touch key design for one handed thumb interaction with a mobile phone: Effect of touch key size and touch key location. International Journal of Industrial Ergonomics, 40:68--76, 2010.

Crossref

Google Scholar

[9]

R. A. Pettitt, E. S. Redden, and C. B. Carstens. Scalability of Robotic Controllers: An Evaluation of Controller Options. Technical Report ARL-TR-4457, Army Research Laboratory, May 2008.

Crossref

Google Scholar

[10]

A. Smith. Pushing the right buttons: Design characteristics of touch screen buttons. Usability News, 11(2), 2009.

Google Scholar

[11]

G. Yarrish. Look, Ma! No Radio! ModelAirplaneNews.com, January 2011.

Google Scholar

Cited By

View all

Yang KSeo KKang SLim Y(2020)Robot Plan Model Generation and Execution with Natural Language Interface*2020 IEEE International Conference on Robotics and Automation (ICRA)10.1109/ICRA40945.2020.9196987(6973-6978)Online publication date: May-2020
https://doi.org/10.1109/ICRA40945.2020.9196987
Francik JBrujic-Okretic VMenegazzo MGodwin AZienowicz K(2016)Real-time sensor data integration in vertical transport systems: Are conventional mobile devices capable of coping with industrial measurement?2016 IEEE Sensors Applications Symposium (SAS)10.1109/SAS.2016.7479865(1-6)Online publication date: Apr-2016
https://doi.org/10.1109/SAS.2016.7479865
Li XParga CYu WScott M(2014)Numerical integrator for inertial sensors in smartphone with application to tele-manipulation of robotProceedings of the 11th IEEE International Conference on Networking, Sensing and Control10.1109/ICNSC.2014.6819653(361-366)Online publication date: Apr-2014
https://doi.org/10.1109/ICNSC.2014.6819653
Show More Cited By

Index Terms

Tele-operated robot control using attitude aware smartphones

Recommendations

Attitude aware smartphones for tele-operated robot control
A Tele-operated Humanoid Operator

This is the first successful trial of remotely controlling a humanoid robot to drive an industrial vehicle in lieu of a human operator. These results were achieved through the development of three technologies: 1) remote-control technology to instruct ...
Analysis of successes and failures with a tele-operated mobile robot in various modes of operation

The effect on failure rates of the way tele-operators interact with mobile robots is investigated. Human tele-operators attempted to move a robot through progressively more complicated environments with reducing gaps, as quickly as possible. Tele-...

Comments

Please enable JavaScript to view thecomments powered by Disqus.

Information & Contributors

Information

Published In

HRI '12: Proceedings of the seventh annual ACM/IEEE international conference on Human-Robot Interaction

March 2012

518 pages

ISBN:9781450310635

DOI:10.1145/2157689

General Chairs:
Holly Yanco
University of Massachusetts Lowell, USA
,
Aaron Steinfeld
Carnegie Mellon University, USA
,
Program Chairs:
Vanessa Evers
University of Amsterdam, The Netherlands
,
Odest Chadwicke Jenkins
Brown University, USA

In-Cooperation

IEEE-RAS: Robotics and Automation

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 05 March 2012

Permissions

Request permissions for this article.

Request Permissions

Check for updates

Author Tags

Qualifiers

Abstract

Conference

HRI'12

Sponsor:

HRI'12: International Conference on Human-Robot Interaction

March 5 - 8, 2012

Massachusetts, Boston, USA

Acceptance Rates

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

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

9
Total Citations
View Citations
198
Total Downloads

Downloads (Last 12 months)1
Downloads (Last 6 weeks)0

Reflects downloads up to 11 Dec 2024

Other Metrics

View Author Metrics

Citations

Cited By

View all

Yang KSeo KKang SLim Y(2020)Robot Plan Model Generation and Execution with Natural Language Interface*2020 IEEE International Conference on Robotics and Automation (ICRA)10.1109/ICRA40945.2020.9196987(6973-6978)Online publication date: May-2020
https://doi.org/10.1109/ICRA40945.2020.9196987
Francik JBrujic-Okretic VMenegazzo MGodwin AZienowicz K(2016)Real-time sensor data integration in vertical transport systems: Are conventional mobile devices capable of coping with industrial measurement?2016 IEEE Sensors Applications Symposium (SAS)10.1109/SAS.2016.7479865(1-6)Online publication date: Apr-2016
https://doi.org/10.1109/SAS.2016.7479865
Li XParga CYu WScott M(2014)Numerical integrator for inertial sensors in smartphone with application to tele-manipulation of robotProceedings of the 11th IEEE International Conference on Networking, Sensing and Control10.1109/ICNSC.2014.6819653(361-366)Online publication date: Apr-2014
https://doi.org/10.1109/ICNSC.2014.6819653
Goodrich MCrandall JBarakova E(2013)Teleoperation and Beyond for Assistive Humanoid RobotsReviews of Human Factors and Ergonomics10.1177/1557234X135024639:1(175-226)Online publication date: 23-Dec-2013
https://doi.org/10.1177/1557234X13502463
Parga CLi XYu W(2013)Smartphone-Based Human Machine Interface with Application to Remote Control of Robot ArmProceedings of the 2013 IEEE International Conference on Systems, Man, and Cybernetics10.1109/SMC.2013.396(2316-2321)Online publication date: 13-Oct-2013
https://dl.acm.org/doi/10.1109/SMC.2013.396
Parga CLi XYu W(2013)Tele-manipulation of robot arm with smartphone2013 6th International Symposium on Resilient Control Systems (ISRCS)10.1109/ISRCS.2013.6623751(60-65)Online publication date: Aug-2013
https://doi.org/10.1109/ISRCS.2013.6623751
Tee TEu KYap KMarshall ALee T(2013)3D Smart User Interactive System with Real-Time Responding Tele-Robotic Proprioceptive InformationProceedings of the 2013 4th International Conference on Intelligent Systems, Modelling and Simulation10.1109/ISMS.2013.90(404-408)Online publication date: 29-Jan-2013
https://dl.acm.org/doi/10.1109/ISMS.2013.90
Larochelle BKruijff GSmets Nvan Diggelen J(2013)Experiences with USAR mobile interfaces: The need for persistent geo-localized information2013 IEEE/RSJ International Conference on Intelligent Robots and Systems10.1109/IROS.2013.6697128(5333-5338)Online publication date: Nov-2013
https://doi.org/10.1109/IROS.2013.6697128
Parga Villalpando CZhang XLiu W(2013)Estimation of human arm movement with inertial sensors in smartphone2013 10th International Conference on Electrical Engineering, Computing Science and Automatic Control (CCE)10.1109/ICEEE.2013.6676073(318-323)Online publication date: Sep-2013
https://doi.org/10.1109/ICEEE.2013.6676073

View Options

Login options

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

Cited By

Index Terms

Recommendations

Attitude aware smartphones for tele-operated robot control

A Tele-operated Humanoid Operator

Analysis of successes and failures with a tele-operated mobile robot in various modes of operation