Learning and Execution of Object Manipulation Tasks on Humanoid Robots

Equipping 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 intell...

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Bibliographic Details
Main Author: Wächter, Mirko (auth)
Format: Electronic Book Chapter
Language:English
Published: KIT Scientific Publishing 2018
Series:Karlsruhe Series on Humanoid Robotics
Subjects:
Online Access:DOAB: download the publication
DOAB: description of the publication
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245 1 0 |a Learning and Execution of Object Manipulation Tasks on Humanoid Robots 
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520 |a Equipping 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. 
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546 |a English 
653 |a Autonomous systems 
653 |a Graphical programming 
653 |a Humanoide Robotik 
653 |a Programming by demonstration 
653 |a Autonome Systeme 
653 |a Robotik 
653 |a Programmieren durch Vormachen 
653 |a Robotics 
653 |a Humanoid robotics 
653 |a Graphische Programmierung 
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856 4 0 |a www.oapen.org  |u https://directory.doabooks.org/handle/20.500.12854/51481  |7 0  |z DOAB: description of the publication