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Projects / Programmes source: ARIS

Ciljno usmerjena sinteza robotskih operacij na osnovi baze vzorčnih gibanj (Slovene)

Research activity

Code Science Field Subfield
2.10.04  Engineering sciences and technologies  Manufacturing technologies and systems  Robotics 

Code Science Field
2.11  Engineering and Technology  Other engineering and technologies 
Evaluation (rules)
source: COBISS
Researchers (8)
no. Code Name and surname Research area Role Period No. of publicationsNo. of publications
1.  33646  PhD Miha Deniša  Manufacturing technologies and systems  Technical associate  2011 - 2012  49 
2.  25638  PhD Andrej Gams  Manufacturing technologies and systems  Researcher  2009 - 2010  235 
3.  00118  PhD Bojan Nemec  Systems and cybernetics  Researcher  2009 - 2011  289 
4.  21549  PhD Damir Omrčen  Manufacturing technologies and systems  Researcher  2009 - 2010  51 
5.  06654  Jožef Opeka    Technical associate  2009 - 2010 
6.  34573  Luka Peternel  Manufacturing technologies and systems  Researcher  2011  39 
7.  32871  Goran Škorja  Manufacturing technologies and systems  Researcher  2011 
8.  11772  PhD Aleš Ude  Manufacturing technologies and systems  Head  2009 - 2012  472 
Organisations (1)
no. Code Research organisation City Registration number No. of publicationsNo. of publications
1.  0106  Jožef Stefan Institute  Ljubljana  5051606000  90,636 
Significance for science
One of the biggest challenges of modern robotics is to enable general purpose robots to autonomously act in natural environments such as homes. The development of such systems will enable the transfer of robot technologies from rather static industrial environments to more unpredictable and dynamic natural environments, thus significantly enlarging the robotics market. In this project we developed a new robot learning paradigm methodology that enables the robots to - Acquire initial sensorimotor knowledge to solve a given task in different configurations of the external world. We used methods such as the observation of human motion and kinesthetic guiding to enable quick transfer of task knowledge to a robot. - Transfer of human motion to the robot's kinematics and dynamics. - Generalization of the acquired action knowledge to new situations, thereby enabling the synthesis of novel robot trajectories. - The application of task parametrization to accelerate reinforcement learning. - Automatic identification of parameters that describe the desired task. This way we contributed to the development of cognitive robotic systems.
Significance for the country
Cognitive robotics is one of the important topics of the seventh framework programme of the European Union. With this project we contributed to the development of cognitive robotics in Slovenia. Our programme group has recently acquired four new FP7 projects in the area of "Cognitive systems and robotics". This way we significantly increased the research activity in this area in Slovenia and contributed to the participation of Slovenia in the EU seventh framework programme. Results of our projects provide some of the necessary foundations for the development of general-purpose robotic systems that can help people in natural environments, for example their homes. These type of robots could significantly contribute to improving the quality of life, especially for older people. If robotics prolonged the time that people can live at their homes independently and without the help of other people just for a few months, it would significantly contribute to solving the problems of the aging society. It is clear that the development of such robotic systems still requires large investment and integration in European and global research activities. It is therefore important that Slovenia remains at the forefront of research in this field.
Most important scientific results Annual report 2009, 2010, 2011, final report, complete report on dLib.si
Most important socioeconomically and culturally relevant results Annual report 2009, 2010, 2011, final report, complete report on dLib.si
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