PROJEKTI
   

Project
Acronym:  
Name: Multirobot Mobile Systems with Global Computer Vision 
[PROJECT URL ]
Project status: From: 2007-01-01 To: 2008-12-31 (Completed)
Type (Programme): BILAT 
Project funding: -
International partner
Organisation Name: UNIVERZA V LJUIBLJANI, FAKULTETA ZA ELEKTROTEHNIKO 
Organisation adress: Tržaška 25, 1000 Ljubljana 
Organisation country: Slovenija 
Contact person name: Professor Drago Matko 
Contact person email: Email 
Croatian partner
Organisation name: Fakultet elektrotehnike i računarstva 
Organisation address: Unska 3 
Contact person name: Ivan Petrović
Contact person tel:
+385-1-6129-844  Contact person fax: +385-1-6129-809 
Contact person e-mail:  
Short description of project
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. 


   

 


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