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Learning and Execution of Object Manipulation Tasks on Humanoid Robots

Learning and Execution of Object Manipulation Tasks on Humanoid Robots

en

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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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This work has been downloaded 36 times via unglue.it ebook links.
  1. 36 - pdf (CC BY-SA) at Unglue.it.

Keywords

  • autonome Systeme
  • Autonomous Systems
  • Graphical programming
  • Graphische Programmierung
  • humanoid robotics
  • Humanoide Robotik
  • Programmieren durch Vormachen
  • Programming by demonstration
  • robotics
  • Robotik

Links

DOI: 10.5445/KSP/1000078313

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