Fusion of intelligent sensor data for robot control

Author

Nauth, Peter

Author_Institution

Fachhochschule Frankfurt a.M., Univ. of Appl. Sci., Frankfurt, Germany

fYear

2009

fDate

23-25 Sept. 2009

Firstpage

1

Lastpage

5

Abstract

Nowadays robots can recognize their environment in a limited way. Future robots designed for operations in a natural environment and for communicating with humans in a natural way require the fusion of data acquired from spoken words and sensory data from the surrounding area. By means of intelligent sensors for speech recognition, proximity measurement, colour measurement and image processing an intelligent robot has been developed. The robot understands the name of an object a user has told the robot to take and searches for it by means of a smart camera and other sensors. After it has found and identified the object, it grabs it and brings it to the user.

Keywords

humanoid robots; image sensors; intelligent sensors; mobile robots; robot vision; sensor fusion; speech recognition; autonomous humanoid robot; colour measurement; image processing; intelligent sensor data fusion; proximity measurement; robot control; smart camera; speech recognition; Channel estimation; Error analysis; Fading; Intelligent sensors; Mean square error methods; Multipath channels; OFDM; Performance analysis; Robot control; Transmitters; Assistive Robots; Image Processing; Robot Control; Sensor Fusion; Speech Recognition;

fLanguage

English

Publisher

ieee

Conference_Titel

AFRICON, 2009. AFRICON '09.

Conference_Location

Nairobi

Print_ISBN

978-1-4244-3918-8

Electronic_ISBN

978-1-4244-3919-5

Type

conf

DOI

10.1109/AFRCON.2009.5308192

Filename

5308192