Projects
Reconfigurable cOBotic prodUction AsSistanT (ROBUST) KU Leuven
ROBUST aims to transform from a collaborative robot into a mobile, reconfigurable production assistant as an automation solution within the 'high mix-low volume' environment of sheet metal.
Reconfigurable cOBotic prodUction AsSistanT (ROBUST) Sirris, the collective centre for the technological industry
Context
Kleine reeksen, grote variatie en grote onzekerheid over de orderportefeuille zorgen ervoor dat toeleveranciers in de metaalsector moeilijk oplossingen vinden in gestandaardiseerde automatisering. Bijgevolg kent de sector nog heel wat repetitief, manueel werk, wat weegt op enerzijds de productiekosten en anderzijds de ...
Reconfigurable cOBotic prodUction AsSistanT (ROBUST) Sirris, the collective centre for the technological industry
Context
Kleine reeksen, grote variatie en grote onzekerheid over de orderportefeuille zorgen ervoor dat toeleveranciers in de metaalsector moeilijk oplossingen vinden in gestandaardiseerde automatisering. Bijgevolg kent de sector nog heel wat repetitief, manueel werk, wat weegt op enerzijds de productiekosten en anderzijds de ...
Novel phase change materials to achieve reconfigurable flat optics KU Leuven
Introduction Flat optics has the potential to replace bulky optical systems with mass manufacturable devices, often with unprecedented functionalities. This has been demonstrated for many applications such as for functionalization of light sources, post-processing of imagers, and the realization of true MR/AR displays. However, the ultimate challenge is to make these flat optic surfaces reconfigurable. This would allow to vary or optimize the ...
Reconfigurable superconducting and photonic technologies of the future Ghent University
Neuromorphic computing is a growing scientific and industrial field with applications in machine learning, remote sensing, robotics, automotive, biomedical technologies, military, and many more areas. By bringing together industrial and academic partners and by exploiting outcomes via start-ups, we aim to create the foundation of a radically new technology that will put Europe at the forefront of neuromorphic computing. We will provide ...
Dynamic vibration absorbers with arbitrary connection characteristics for reconfigurable mechanical assemblies Ghent University
Excessive vibrations are detrimental to a mechanical system’s structural integrity, performance and production quality/output. Emerging design trends incorporate light and slender material, reconfigurable and modular assemblies, and have changing loads and propulsion. This leads to vibration susceptible designs with uncertain, time-varying vibratory behavior. To reduce excessive vibrations, a passive device called a dynamic vibration absorber ...
LIQuid-crystal enabled Universal Optical Reconfigurable Integrated Circuit Engineering Ghent University
In LIQUORICE we will build an operational proof-of-concept of a general-purpose programmable photonic processor. This processor is intended to provide the photonics community with a flexible rapid prototyping technology, similar in use as an electronic FPGA, to stimulate new innovation and accelerate the adoption of photonic chip technology in diverse applications, beyond the traditional photonics markets of telecom and datacom. In ...
cost-effective reconfigurable robotic solutions Flanders Make
With this CEROS Coock project, Flanders Make VZW - ProductionS, Flanders Make@KU Leuven - ROB and KU Leuven - ACRO want to respond to the growing demand from companies for support in the design and implementation of 4 Application template through COOCK VLAIO.be.
In addition, a number of new technological building blocks (intelligent robot periphery such as computer vision, adaptive(er) grippers, task-based robot programming, path ...
Reconfigurable Neural Network architectures, circuits, transistors (recoNNact) KU Leuven
Embedded neural networks become more and more important, as they offer superior task performance compared to many traditional algorithms. However they are much more compute heavy than the traditional algorithms, putting a large burden on the power envelope of the embedded platform. This trend is also observed for next generation hearing aids, requiring advanced low-power embedded audio machine learning processing, including improved denoising ...