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[BGB11] Interactive person following for social robots
Conférence Internationale avec comité de lecture : CLAWAR 2011, 11th International Conference on Climbing and Walking Robots and the Support Technologies for Mobile Machines, September 2011, pp.11-26,Mots clés: robot, assistance, follow, decision making, artificial intelligence, kalman filter, fuzzy logic, Multiple-Objective Decision Making
Résumé:
In this study we propose an innovative decision making engine for interactive person following for a mobile social robot. The developed engine combines 1. A Strategy controller that selects the strategy to apply 2. A Multiple-Objective system that provides to the robot the way to perform this strategy. We show the performances of this system by two sets of experiments (in simulation environment): the first one is based only on the observed data; in the second one we predict the state of the user with a Kalman filter and the state of the robot with a predictive model. We demonstrate that the proposed reasoning system is able to regulate the robot behavior in complex and critical situations. The suggested predictors improve the system performances considerably.
Equipe:
mim
Collaboration:
ISIR
BibTeX
| @inproceedings { | |||
| BGB11, | |||
| title | = | "{Interactive person following for social robots}", | |
| author | = | " A. Buendia and C. Granata and P. Bidaud ", | |
| booktitle | = | "{CLAWAR 2011, 11th International Conference on Climbing and Walking Robots and the Support Technologies for Mobile Machines}", | |
| year | = | 2011, | |
| month | = | "September", | |
| pages | = | "11-26", | |
| } | |||
