RoboGrind: Intuitive and Interactive Surface Treatment with Industrial Robots

Fuente: arXiv
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Main Authors: Alt, Benjamin, Stöckl, Florian, Müller, Silvan, Braun, Christopher, Raible, Julian, Alhasan, Saad, Rettig, Oliver, Ringle, Lukas, Katic, Darko, Jäkel, Rainer, Beetz, Michael, Strand, Marcus, Huber, Marco F.
Format: Preprint
Published: 2024
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author Alt, Benjamin
Stöckl, Florian
Müller, Silvan
Braun, Christopher
Raible, Julian
Alhasan, Saad
Rettig, Oliver
Ringle, Lukas
Katic, Darko
Jäkel, Rainer
Beetz, Michael
Strand, Marcus
Huber, Marco F.
author_facet Alt, Benjamin
Stöckl, Florian
Müller, Silvan
Braun, Christopher
Raible, Julian
Alhasan, Saad
Rettig, Oliver
Ringle, Lukas
Katic, Darko
Jäkel, Rainer
Beetz, Michael
Strand, Marcus
Huber, Marco F.
contents 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.
format Preprint
id arxiv_https___arxiv_org_abs_2402_16542
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle RoboGrind: Intuitive and Interactive Surface Treatment with Industrial Robots
Alt, Benjamin
Stöckl, Florian
Müller, Silvan
Braun, Christopher
Raible, Julian
Alhasan, Saad
Rettig, Oliver
Ringle, Lukas
Katic, Darko
Jäkel, Rainer
Beetz, Michael
Strand, Marcus
Huber, Marco F.
Robotics
Artificial Intelligence
68T40
I.2.6; I.2.2; I.2.9
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.
title RoboGrind: Intuitive and Interactive Surface Treatment with Industrial Robots
topic Robotics
Artificial Intelligence
68T40
I.2.6; I.2.2; I.2.9
url https://arxiv.org/abs/2402.16542