ON THE REDEFINITION OF FAN OUT METRIC FOR HUMAN ROBOT INTERACTIONS WITH HUMANOID SOCCER ROBOTS

Autor:	Wijerupage Sardha Wijesoma, Carlos Antonio Acosta Calderon, Mohan Rajesh Elara, Changjiu Zhou
Rok vydání:	2010
Předmět:	Artificial Intelligence Computer science business.industry Mechanical Engineering Robot Fan-out Artificial intelligence business Human–robot interaction Simulation Robot control
Zdroj:	International Journal of Humanoid Robotics. :565-586
ISSN:	1793-6942 0219-8436
DOI:	10.1142/s0219843610002143
Popis:	Fan out (FO) is adopted as a general index among human robot interaction researchers in predicting the maximum number of robots a single operator can handle simultaneously while maintaining performance at acceptable levels. Neglect tolerance model forms the basis for FO metric that assumes ideal conditions wherein the operator switches control between robots sequentially based on acceptable performance ignoring any false alarms due to erroneous interactions. In this article, we redefine the FO metric to account for any additional demands due to the occurrence of false alarms, as these additional demands could lead to task failure. Experiments with our virtual and real humanoid soccer robots across tele-operation and semi-autonomous modes of autonomy showed significant drop in FO predictions with inclusion of demands due to false alarms for all experimental cases.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::6fa1f3087bd7441ded0bd43498543553 https://doi.org/10.1142/s0219843610002143 Zobrazit plný text záznamu