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

Autor
Goldhoorn, A.; Sanfeliu, A.; Alquezar, R.
Tipus d'activitat
Presentació treball a congrés
Nom de l'edició
First Iberian Robotics Conference
Any de l'edició
2013
Data de presentació
2013-11-28
Llibre d'actes
ROBOT2013: First Iberian Robotics Conference: Advances in Robotics, Vol. 1
Pàgina inicial
505
Pàgina final
520
Editor
Springer
DOI
https://doi.org/10.1007/978-3-319-03653-3_37 Obrir en finestra nova
Repositori
http://hdl.handle.net/2117/23461 Obrir en finestra nova
URL
http://dx.doi.org/10.1007/978-3-319-03653-3_37 Obrir en finestra nova
Resum
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...
Citació
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.
Paraules clau
MOMDP, hide-and-seek, human robot interaction, robotics
Grup de recerca
SOCO - Soft Computing
VIS - Visió Artificial i Sistemes Intel.ligents

Participants