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MANIPULATION

Environment modeling for maintenance automation-a next-best-view approach for combining space exploration and object recognition tasks

Christian Friedrich, Viktor Zielke, Marc Toussaint, Armin Lechler, Alexander Verl

Year
2017
Citations
2

Abstract

In order to enable robot systems to solve complex tasks autonomously, it is essential to model the environment in a sufficient way. This work describes a new approach to create a consistent environment model, using next-best-view planning which combines the optimization of the space exploration and the object recognition task. The approach is designed for the automation of maintenance tasks, which is a challenging task for autonomous robotic systems. After a general overview of the developed system, we explain the theoretic foundations for building a consistent environment model which can be used for manipulation planning. The concept is validated by means of application-oriented examples.

Keywords

Computer scienceAutomationTask (project management)RobotObject (grammar)Human–computer interactionArtificial intelligenceSpace (punctuation)Task analysisSystems engineering

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