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Affordable Motion Tracking System for Intuitive Programming of Industrial Robots

Martin Švejda, Martin Goubej, Arnold Jáger, Jan Reitinger, Ondřej Severa

Year
2022
Citations
3
Access
Open access

Abstract

The paper deals with a lead-through method of programming for industrial robots. The goal is to automatically reproduce 6DoF trajectories of a tool wielded by a human operator demonstrating a motion task. We present a novel motion-tracking system built around the HTC Vive pose estimation system. Our solution allows complete automation of the robot teaching process. Specific algorithmic issues of system calibration and motion data post-processing are also discussed, constituting the paper’s theoretical contribution. The motion tracking system is successfully deployed in a pilot application of robot-assisted spray painting.

Keywords

RobotAutomationComputer scienceTracking systemProcess (computing)Artificial intelligenceMotion (physics)Tracking (education)Task (project management)Computer vision

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