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In this project we investigate the concept of multi-robot systems in so-called intelligent spaces. These are structured spaces (e.g. restaurants, supermarkets, airports, etc) with built-in sensors and control computers so that the mobile robots are allowed to have lower degree of intelligence. In terms of control and coordination of higher number of mobile robots, the intelligent space offers several advantages compared to the use of independent autonomous robots: a) it is not necessary to build an environment map, b) in every time instance it is possible to uniquely determine the position of the robot, c) even in dynamic environment, it is possible to find globally optimal path, because the sensor system has always perception of the whole environment, d) the whole intelligence is located in the environment, instead in the robots, so that robots share common resources and this results with lower system price. The most important perception sensors used in intelligent spaces for pose tracking of mobile robots and other moving objects are digital cameras. Those are so-called systems with global computer vision, and they will be in the research focus of the proposed project.
Short description of the task performed by Croatian partner
We are concerned with the following research topics: a) development of the algorithms for robots identifications and pose tracking based on the global vision system, and b) development of the algorithms for path planning and tracking with the aim to achieve optimal motion of the robots and optimal collaboration in performing complex tasks.