Surface treatment tasks such as grinding, sanding or polishing are a vital step of the value chain in many industries, but are notoriously challenging to automate. We present RoboGrind, an integrated system for the intuitive, interactive automation of surface treatment tasks with industrial robots. It combines a sophisticated 3D perception pipeline for surface scanning and automatic defect identification, an interactive voice-controlled wizard system for the AI-assisted bootstrapping and parameterization of robot programs, and an automatic planning and execution pipeline for force-controlled robotic surface treatment. RoboGrind is evaluated both under laboratory and real-world conditions in the context of refabricating fiberglass wind turbine blades.
@article{arxiv.2402.16542,
title = {RoboGrind: Intuitive and Interactive Surface Treatment with Industrial Robots},
author = {Benjamin Alt and Florian Stöckl and Silvan Müller and Christopher Braun and Julian Raible and Saad Alhasan and Oliver Rettig and Lukas Ringle and Darko Katic and Rainer Jäkel and Michael Beetz and Marcus Strand and Marco F. Huber},
journal= {arXiv preprint arXiv:2402.16542},
year = {2024}
}
Comments
7 pages, 6 figures, accepted to the 2024 IEEE International Conference on Robotics and Automation (ICRA 2024)