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Integration of Autonomous Task Planning into Reconfigurable Skill-Based Industrial Robots

Lisa Heuss, Gunther Reinhart

Year
2020
Citations
10

Abstract

The application of industrial robots can help companies to achieve competitive advantages. Therefore, industrial robots need to be able to complete a wide variety of tasks at short notice in today's highly customized and dynamic production environment. However, this is contrary to the current situation. Configuring and programming robots is a challenging and time-consuming task. In this paper, we present our approach to integrating autonomous task planning into reconfigurable skill-based industrial robots. As a result, robots will coordinate their diverse tasks autonomously, and thus take the challenging and time-consuming job of robot programming away from the user.

Keywords

RobotTask (project management)Computer scienceNoticeVariety (cybernetics)Industrial robotHuman–computer interactionArtificial intelligenceEngineeringSystems engineering

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