Title :
Using gesture and speech control for commanding a robot assistant
Author :
Rogalla, O. ; Ehrenmann, M. ; Zöllner, R. ; Becher, R. ; Dillmann, R.
Author_Institution :
Inst. of Comput. Design & Fault Tolerance, Karlsruhe Univ., Germany
Abstract :
Giving advice to a mobile robot assistant still requires classical user interfaces. A more intuitive way of commanding is achieved by verbal or gesture commands. In this article, we present new approaches and enhancements for established methods that are in use in our laboratory. Our aim is to interact with a robot using natural and direct communication techniques to facilitate robust performance of simple tasks. Within this paper, we describe the robot´s vision and speech recognition system. Then, we display robot control for selecting the appropriate robot reaction for solving basic manipulation tasks.
Keywords :
gesture recognition; interactive systems; man-machine systems; manipulators; mobile robots; natural language interfaces; object recognition; robot vision; speech recognition; event management; gesture commands; gesture control; interactive robot system; manipulation tasks; mobile robot assistant; natural direct communication techniques; object classification; robot control; robust performance; speech control; speech recognition system; verbal commands; vision recognition system; Communication channels; Fault tolerance; Fingers; Humans; Laboratories; Mobile communication; Mobile robots; Robot sensing systems; Speech recognition; User interfaces;
Conference_Titel :
Robot and Human Interactive Communication, 2002. Proceedings. 11th IEEE International Workshop on
Print_ISBN :
0-7803-7545-9
DOI :
10.1109/ROMAN.2002.1045664