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The goal is to support design and process engineers in assessing the impact of a new product variant on the existing assembly line.
Manipulating bulky objects safely can be tricky.
Manufacturing companies are looking for ways to provide operators and technicians with adequate training.
Musculoskeletal disorders are the most important category of work-related diseases in many industrialized countries.
This project offers an approach to embed local intelligence to components to monitor their health and performance as well as their interaction with other components.
There is an industrial need for a monitoring methodology which will provide robust monitoring capabilities independent of the operating conditions.
We will develop the methodology to optimally choose and configure combinations of different sensors.
The goal of this project is to realize a vision-based machine control platform.
Fibre optic sensing (FOS) technology allows making measurements with a single sensor technology.
Beam shaping would enable to tailor the beam to the particular needs of the envisaged production process.
There is an increasing interest in autonomous capabilities for mobile systems that aren’t bound predefined tracks.
Companies that design and manufacture drivetrains need more performant and cost-effective solutions for torque ripple reduction.
The project will deliver tools for automated context identification and deployment of context aware controllers.
We are looking to create formal methods and tools to support value engineering processes.
It will help identifying platform opportunities within existing product families and optimizing the different variants that are required.
We will extend the existing CDS tooling by allowing to deal with uncertainty and by improving result visualisation.
The goal is to support manufacturing companies with the repair or recycling of their multi-material products.
The goal is to develop methods that lower the cost and time-to-market and increase the quality of data acquisition for Industry 4.0 applications.
We want to have optimal performance under all conditions and not end up with controllers that often yield poor system performance.
A key technological barrier impeding their widespread use is the difficulty to deploy complex multi-robot systems in real-life industrial environments.
Considering assembly aspects too late or in a trial-and-error way is no longer an option.
We focus on the modular design of gantry-type production systems for high-precision features on large products.
Torque ripple is a critical element in the design, the integration and the operation of the drivetrain.
Multi-drivetrain systems offer opportunities for cost savings through a modular approach of sharing functionalities.