Title :
Representing robot/environment interactions using probabilities: the "beam in the bin" experiment
Author :
Bessiere, Pierre ; Dedieu, Eric ; Mazer, Emmanuel
Author_Institution :
IMAG/LIFIA, CNRS, Grenoble, France
Abstract :
The paper presents a very simple robotic experiment to illustrate how probabilistic reasoning may be used for sensory motor systems. We show how our robot may learn internal representations of its interactions with the environment, how it may predict the sensory result of a given action, how it may generate motor command to reach a wished sensory situation, how it may recognize different status and novel conditions and finally how it may behave consistently to simultaneously explore and exploit its environment.
Keywords :
biosensors; inference mechanisms; intelligent control; beam in the bin experiment; cognitive science; internal representations; motor command; probabilistic reasoning; probabilities; robot/environment interactions; robotic experiment; sensory motor systems; sensory result; sensory situation; Actuators; Apertures; Biosensors; Cognitive robotics; Mechanical sensors; Orbital robotics; Organisms; Robot sensing systems; Sensor systems; Signal processing;
Conference_Titel :
From Perception to Action Conference, 1994., Proceedings
Print_ISBN :
0-8186-6482-7
DOI :
10.1109/FPA.1994.636093
