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Projects / Programmes source: ARIS

Sinteza robotskega gibanja na osnovi človekovega vizualno-motoričnega učenja (Slovene)

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Research activity

Code Science Field Subfield
2.06.02  Engineering sciences and technologies  Systems and cybernetics  System theory and control systems 

Code Science Field
2.11  Engineering and Technology  Other engineering and technologies 
Evaluation (rules)
source: COBISS
Evaluation of bibliographic research performance indicators according to ARIS methodology
Citations Citations for bibliographic records in COBIB.SI that are linked to records in citation databases
source: WoS source: Scopus source: COBISS
Researchers (7)
no. Code Name and surname Research area Role Period No. of publications
1.  20216  PhD Jan Babič  Systems and cybernetics  Head  2009 - 2012  294 
2.  04151  PhD Ladislav Lenart  Systems and cybernetics  Researcher  2009 - 2012  94 
3.  34573  Luka Peternel  Manufacturing technologies and systems  Researcher  2011 - 2012  39 
4.  32871  Goran Škorja  Manufacturing technologies and systems  Researcher  2011  7 
5.  14918  PhD Martin Tomšič  Systems and cybernetics  Researcher  2009 - 2011  73 
6.  06655  Janez Zalar    Technical associate  2009 - 2012  6 
7.  03332  PhD Leon Žlajpah  Systems and cybernetics  Researcher  2009 - 2012  266 
Organisations (1)
no. Code Research organisation City Registration number No. of publications
1.  0106  Jožef Stefan Institute  Ljubljana  5051606000  90,664 
Significance for science
The main result of the research within the project is the establishment of the scientific methods for generation of dynamically consistent and stable motions of the humanoid robot using human motor learning. To demonstrate the effectiveness of the proposal, several concrete robot behaviors like reaching, stepping, balancing, and compliant interaction with environment were derived and implemented on a humanoid robot using the introduced paradigm. In addition, the performance of the human during the control of the robot generated valuable data on human motor learning (e.g. with what kind of interface and/or feedback it is more natural and easy to control robots). Overall, the results of the project contribute a significant deal to the field of the humanoid robotics in the sense that it introduces a novel paradigm allowing easy and rapid skill generation for robot behavior.
Significance for the country
With the emerging technology that enables us to build sophisticated humanoid robots, a necessity appeared for technological solutions to program these complex robots. In spite of the large number of researchers working in this field, there is still no adequate technology existing today to program these complex robots in an intuitive way. In this sense our project provides a big step forward where human motor learning abilities are used for robot programming in an intuitive way. The results of the project immensely improve the introduction of humanoid robots into entertainment, health care and general society as such. Besides the usage in humanoid robotics, the results of the research are directly applicable for the intuitive control of classical robotic systems that can be found in the production process. Based on the results of the research and with the minimal additional costs, classical robotic systems can become usable in various new and interesting fields.
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 2010, 2011, final report, complete report on dLib.si
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