Title :
Fusion of intelligent sensor data for robot control
Author_Institution :
Fachhochschule Frankfurt a.M., Univ. of Appl. Sci., Frankfurt, Germany
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;
Conference_Titel :
AFRICON, 2009. AFRICON '09.
Conference_Location :
Nairobi
Print_ISBN :
978-1-4244-3918-8
Electronic_ISBN :
978-1-4244-3919-5
DOI :
10.1109/AFRCON.2009.5308192
