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.
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CITATION STYLE
Švejda, M., Goubej, M., Jáger, A., Reitinger, J., & Severa, O. (2022). Affordable Motion Tracking System for Intuitive Programming of Industrial Robots. Sensors, 22(13). https://doi.org/10.3390/s22134962
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