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Robotics

RobOptiCut – Automated defect correction and optimisation of veneers

Duration:

06/2026

05/2029

Total Time:

3 Years

Robot-assisted processing of hardwood veneers for high-performance lightweight construction

The Project

RobOptiCut is developing an innovative process chain for the use of hardwood veneers in high-performance lightweight construction. Imaging techniques, automated defect detection and robotics enable the determination of fibre orientation, as well as the targeted removal and repair of local defects. This is intended to more than double the yield of high-quality veneers and lay the groundwork for the automated production of lightweight components.

Our activities within the project

In this project, we are focusing in particular on the development and automation of robotic machining processes. These include the precise cutting and edging of veneers, as well as the joining of patches. A key challenge lies in translating the results of sensor-based data acquisition and digital process planning into robust and reproducible robotic processes for hardwood veneers.

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FFG

JOANNEUM RESEARCH DIGITAL
Wood Vision Research gGmbH
Weitzer Wood Solutions GmbH
Evon GmbH
FB Industry Automation GmbH
LEAN MC GmbH

Project Details

RobOptiCut is developing an innovative, automated process chain for the industrial use of hardwood veneers in high-performance lightweight construction. The aim is to utilise existing timber resources more efficiently whilst laying the groundwork for high-performance, bio-based lightweight components.

With the transition to climate-resilient mixed forests, beech in particular will be available in greater quantities in future. However, the material yield for high-quality technical applications is currently low: local imperfections mean that large sections of a veneer have to be discarded. At the same time, reliably determining the grain direction is crucial to making the most of the material’s mechanical potential.

RobOptiCut relies on the intelligent integration of sensor technology, image processing, optimisation methods and robotics. Fibre orientation and material properties are recorded using a line-scan microscope camera and a hyperspectral camera. Image processing and nesting algorithms identify defects and determine an optimal processing strategy. Local defects are then selectively removed and replaced with matched veneer patches. This is intended to more than double the yield of high-quality veneers, whilst the mechanical properties of the repaired veneers approach those of flawless veneers.

The process chain developed thus provides the technological basis for the automated production of high-quality veneer layers for timber and timber-hybrid components. Potential applications range from vehicle and rail vehicle manufacturing to mechanical engineering, wind energy and other lightweight construction applications. At the same time, RobOptiCut contributes to resource conservation, CO₂ sequestration and the transition away from fossil fuels through greater material efficiency and the increased use of renewable raw materials.

Project Participants

Bernhard Holzfeind
IKT und Leiter ROBOTICS Solution Center
DI Dr. Harald Ganster
Deputy head of research group

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