LEADER 01787nam  2200433z- 450 
001 9910346956503321
005 20210211
010   $a1000078313
035   $a(CKB)4920000000100957
035   $a(oapen)https://directory.doabooks.org/handle/20.500.12854/51481
035   $a(oapen)doab51481
035   $a(EXLCZ)994920000000100957
100   $a20202102d2018      |y         0
101 0 $aeng
135   $aurmn|---annan
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 00$aLearning and Execution of Object Manipulation Tasks on Humanoid Robots
210   $cKIT Scientific Publishing$d2018
215   $a1 online resource (X, 236 p. p.)
225 1 $aKarlsruhe Series on Humanoid Robotics
311 08$a3-7315-0749-8 
330   $aEquipping robots with complex capabilities still requires a great amount of effort. In this work, a novel approach is proposed to understand, to represent and to execute object manipulation tasks learned from observation by combining methods of data analysis, graphical modeling and artificial intelligence. Employing this approach enables robots to reason about how to solve tasks in dynamic environments and to adapt to unseen situations.
610   $aAutonome Systeme
610   $aAutonomous systems
610   $aGraphical programming
610   $aGraphische Programmierung
610   $aHumanoid robotics
610   $aHumanoide Robotik
610   $aProgrammieren durch Vormachen
610   $aProgramming by demonstration
610   $aRobotics
610   $aRobotik
700   $aWächter$b Mirko$4auth$01306017
906   $aBOOK
912   $a9910346956503321
996   $aLearning and Execution of Object Manipulation Tasks on Humanoid Robots$93028135
997   $aUNINA