Learning And Execution Of Object Manipulation Tasks On Humanoid Robots
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Learning and Execution of Object Manipulation Tasks on Humanoid Robots
Author: Waechter, Mirko
language: en
Publisher: KIT Scientific Publishing
Release Date: 2018-03-21
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.
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 intelligence. Employing this approach enables robots to reason about how to solve tasks in dynamic environments and to adapt to unseen situations. This work was published by Saint Philip Street Press pursuant to a Creative Commons license permitting commercial use. All rights not granted by the work's license are retained by the author or authors.
Active Vision for Scene Understanding
Author: Grotz, Markus
language: en
Publisher: KIT Scientific Publishing
Release Date: 2021-12-21
Visual perception is one of the most important sources of information for both humans and robots. A particular challenge is the acquisition and interpretation of complex unstructured scenes. This work contributes to active vision for humanoid robots. A semantic model of the scene is created, which is extended by successively changing the robot's view in order to explore interaction possibilities of the scene.