Nothing Special   »   [go: up one dir, main page]

skip to main content
10.5555/2447556.2447709acmconferencesArticle/Chapter ViewAbstractPublication PageshriConference Proceedingsconference-collections
tutorial

HRI-2013 workshop on probabilistic approaches for robot control in human-robot interaction (PARC-HRI)

Published: 03 March 2013 Publication History

Abstract

The HRI-2013 Workshop on Probabilistic Approaches for Robot Control in Human-Robot Interaction (PARC-HRI) brings together researchers to discuss the application of probabilistic approaches to further enable robot autonomy in HRI, as well as to address the shortcomings and necessary improvements in current techniques needed for robust socially intelligent behavior. This half day workshop investigates the use of probabilistic approaches, such as Bayesian networks and Markov models, for robust robot control and decision-making under uncertainty. Target applications range from social behavior primitives---such as gesture, eye gaze, and spacing---to higher-level interaction planning and management systems.

References

[1]
L. R. Rabiner, "A tutorial on hidden Markov models and selected applications in speech recognition," in Readings in Speech Recognition, 1990, pp. 267--296.
[2]
R. Mead, A. Atrash, and M. J. Matarić, "Recognition of spatial dynamics for predicting social interaction," in Human-Robot Interaction, Lausanne, 2011.
[3]
L. Morency, C. Sidner, C. Lee, and T. Darrell, "Contextual recognition of head gestures," in International Conference on Multimodal Interactions, Trento, Italy, 2005.
[4]
J. Williams and S. Young, "Scaling up POMDPs for dialog management: The "summary POMDP" method," Automatic Speech Recognition and Understanding, pp. 177--182, 2005.
[5]
N. Roy, J. Pineau, and S. Thrun, "Spoken dialogue management using probabilistic reasoning," in Association for Computational Linguistics, 2000.
[6]
A. Cassandra, "A survey of POMDP applications," in AAAI Fall Symposium on POMDPs, 1998.
[7]
J. Hoey, P. Poupart, C. Boutilier, and A. Mihailidis, "POMDP models for assistive technology," in AAAI Fall Symposium on Caring Machines: AI in Eldercare, 2005.
[8]
F. Doshi and N. Roy, "Efficient model learning for dialog management," in International Conference on Human-Robot Interaction, 2007, pp. 65--72.
[9]
A. Atrash, R. Kaplow, J. Villemure, R. West, H. Yamani, and J. Pineau., "Development and validation of a robust speech interface for improved human-robot interaction," International Journal of Social Robotics, vol. 1, pp. 345--356, 2009.
[10]
B. Zhang, Q. Cai, J. Mao, and B. Guo, "Planning and acting under uncertainty: A new model for spoken dialogue systems," in Uncertainty in Artificial Intelligence, 2001, pp. 572--57.
[11]
C. Chao and A. Thomaz, "Timed petri nets for multimodal interaction modeling," ICMI 2012 Workshop on Speech and Gesture Production in Virtually and Physically Embodied Conversational Agents, 2012.
[12]
F. Broz, R. Nourbakhsh, and R. Simmons, "Planning for human-robot interaction using time-state aggregated pomdps," in American Association for Artificial Intelligence, 2008, pp. 1339--1344.
[13]
E. Meisner, S. Das, V. Isler, J. Trinkle, S. Sabanovic, and L. Caporael, "Predictive state representations for grounding human-robot communication," in Robotics and Automation (ICRA), 2010 IEEE International Conference on, 2010, pp. 178--185.

Recommendations

Comments

Please enable JavaScript to view thecomments powered by Disqus.

Information & Contributors

Information

Published In

cover image ACM Conferences
HRI '13: Proceedings of the 8th ACM/IEEE international conference on Human-robot interaction
March 2013
452 pages
ISBN:9781467330558

Sponsors

In-Cooperation

  • AAAI: American Association for Artificial Intelligence
  • Human Factors & Ergonomics Soc: Human Factors & Ergonomics Soc

Publisher

IEEE Press

Publication History

Published: 03 March 2013

Check for updates

Author Tags

  1. human-robot interaction
  2. probabilistic models
  3. robot control

Qualifiers

  • Tutorial

Conference

HRI'13
Sponsor:

Acceptance Rates

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

Contributors

Other Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

  • 0
    Total Citations
  • 113
    Total Downloads
  • Downloads (Last 12 months)1
  • Downloads (Last 6 weeks)0
Reflects downloads up to 19 Nov 2024

Other Metrics

Citations

View Options

Login options

View options

PDF

View or Download as a PDF file.

PDF

eReader

View online with eReader.

eReader

Media

Figures

Other

Tables

Share

Share

Share this Publication link

Share on social media