Abstract: The new trends in robotics research have a general goal of developing personal and professional service robots that presupposes the robots operation in an unstructured environment. In this case one of the key problems is the problem of constructing in real time the model of dynamic robot surroundings using sensors data processing. Different sensors are differed markedly between each other by the price and by their technical characteristics such as accuracy of measurements, spatial resolution, speed of measurements and time of data processing. The more information about surroundings it is possible to get, the more expensive and time consuming is the sensor. To solve existing basic contradictions, we suggest to use a combination of various ways, both traditional - working out of more perfect and inexpensive sensors and data processing means, and nonconventional - such which, at first sight, can seem not concerning a considered problem. Offered working out of an canonic stereosystem on the base of commercial cameras and the simplified control system of a choice of the calibrated focal length of monocameras can serve as an example of the traditional way. Collaborative processing of various data, visual and non-visual, and information infrastructure of robot environment relate to the nonconventional ways. Proposed collaborative sensors data processing is used to cut down analyzed space of scene by directed selection of the area of interest and to replace the pattern recognition problem solving by the verification of the state of known scene. As more often used sensors does not manage to be synchronised, the scheme of sensors data labeling by the measurement instants is offered. Designing the robot environment information infrastructure, we follow the practice of human being in creation of the information infrastructures to provide his safe existence. We propose visual information landmarks that can be easily recognized by the mono- and stereovision systems and permit them to define their 3D spatial position with respect to landmark coordinate system. It allows us to realize an environment model representation as an hybrid of topological and metrical maps. Finally we present the examples of autonomous actions of service robots.

Brief Biography of the Speaker:
Vitaliy Rybak received the Diploma in radio-physics from the Kiev State University, Ukraine, 1958, and Ph. D. degree in Technical Cybernetics from the Institute of Cybernetics of the Academy of Sciences of Ukraine, 1968.
Since 1958 till 2000 he was with the Institute of Cybernetics of the Academy of Sciences of Ukraine. From 1975 to 2000 he was the scientific director of the National Scientific Seminar of Ukraine “Scientific and Engineering Problems of Robotics”. From 1982 to 2000 he was the head of Department of Informatics in Robotics of the Institute of Cybernetics of the Academy of Sciences of Ukraine. From 1989 to 2000 he was the director of the Section of Robotics of the Scientific Council of the Automation of the National Academy of Sciences of Ukraine. From 2000 till now he is a professor of the Technological University of the Mixteca, Mexico; director of the Laboratory of Robotics of the same university.
His major research interests include Intelligent Robotics (autonomous robot architecture, 3D robotics vision, 3D stereo measurement, 3D object recognition and scene analysis, goal directed robot’s behavior planning), Image Processing, and Pattern Recognition.
He has published the book and more than 140 papers in Intelligent Robotics, Image Processing, and Pattern Recognition. He was the responsible editor of 13 books in Artificial Intelligence, Intelligent Robotics, Image Processing, and Pattern Recognition. He was the director of numerous international and national research projects in Image Processing, Pattern Recognition, and Intelligent Robotics.
He is the winner of the National award in the field of science and technology of Ukraine, 1993.