Abstract: Video and audio mobile robot systems are a coarse model of the human visual and hearing systems. They consist of video and audio sensors mounted on the mobile robot platform and a specific hardware and software for image and sound processing. The visual sensors are usually a single video camera or a pair of two cameras giving mono or stereo images, respectively. The audio sensors also can be mono or stereo, if the number of microphones are one or two, but more frequently as audio sensors in mobile robot are used microphone arrays with two or more number of microphones arranged in a linear, circular or matrix structure to achieve an effective sound direction of arrival or determination or sound localization in the situations, when a person speak to the robot. The visual images and audio signals, received with each of these sensors, can be process to extract the necessary information for the right orientation and moving control of the mobile robot in one indoor or outdoor area of observation. The area of the research in the visual and audio robot systems are the advanced methods and algorithms for image and sound signals analysis, feature extraction, objects or human body separation and tracking, face recognition from images and speech recognition and identification, scene analysis etc., suitable for mobile robot applications. The information calculated separately from each of video and audio robot system can be combined together to improve the precision of objects, persons or speakers tracking form the mobile robot.
The goal of this article is to give a brief review of the topics in the area of image and sound processing methods and algorithms for mobile robots and to present some concrete results of the research in the area of visual and audio mobile robot systems achieved from the group in Technical University of Sofia with the author of this article of the head.

Brief Biography of the Speaker:
Born in 1944, Plovdiv, Bulgaria. He received M.S. degree in Communications in 1969 in Technical University, Sofia. Ph. D in Television and Image Processing in 1975, Assoc. Prof. since 1987 in the same University. Vice-Dean of Faculty on Life-Long Learning Center since 2005, Vice-Dean of French Language Faculty of Electrical Engineering since 2006. The author over 180 research papers in Image Processing Systems, Pattern Recognitions, Neural Networks etc. Currently the leader of courses in Basic of Television, Television Systems, Theory of Coding, Digital Signal Processors etc. His scientific iterests encompass Video and Audio Processing, Digital TV, Neural Networks, Artificial Intelligence in Video and Audio, Artificial Intelligence Programming Languages Lisp Prolog, Expert Systems, Robotics Camera Eye and Microphone Arrays, Signal Processors, Embedded Systems, Microcontrollers, Programming Languages C++, Java, Matlab etc.