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Analysis of methods for playing human robot hide-and-seek in a simple real world urban environment

Author
Goldhoorn, A.; Sanfeliu, A.; Alquezar, R.
Type of activity
Presentation of work at congresses
Name of edition
First Iberian Robotics Conference
Date of publication
2013
Presentation's date
2013-11-28
Book of congress proceedings
ROBOT2013: First Iberian Robotics Conference: Advances in Robotics, Vol. 1
First page
505
Last page
520
Publisher
Springer
DOI
https://doi.org/10.1007/978-3-319-03653-3_37 Open in new window
Repository
http://hdl.handle.net/2117/23461 Open in new window
URL
http://dx.doi.org/10.1007/978-3-319-03653-3_37 Open in new window
Abstract
The hide-and-seek game has many interesting aspects for studying cognitive functions in robots and the interactions between mobile robots and humans. Some MOMDP (Mixed Observable Markovian Decision Processes) models and a heuristic-based method are proposed and evaluated as an automated seeker. MOMDPs are used because the hider's position is not always known (partially observable), and the seeker's position is fully observable. The MOMDP model is used in an o-line method for which two reward fun...
Citation
Goldhoorn, A.; Sanfeliu, A.; Alquezar, R. Analysis of methods for playing human robot hide-and-seek in a simple real world urban environment. A: Iberian Robotics Conference. "ROBOT2013: First Iberian Robotics Conference, Advances in Robotics, Vol.2". Madrid: Springer, 2013, p. 505-520.
Keywords
MOMDP, hide-and-seek, human robot interaction, robotics
Group of research
SOCO - Soft Computing
VIS - Artificial Vision and Intelligent Systems

Participants