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Home Industrial data

Fuzzy Logic wins €1.75 million in Deeptech development aid from BPI

By Writing
13 mars 2023
in Industrial data
Reading time: 2 min
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In the current context, between the conflicts and the energy crisis that follow the pandemic, French manufacturers are facing the challenge of relocation at a rapid pace. The demand for increased production, lower costs and better quality is high. But without qualified personnel or tools, the solution lies in technology, with the robotization of production as its pivot. However, the robot remains largely inaccessible because of an expensive and complicated use that requires robotic experts. Fuzzy Logic, with its software that allows non-experts to easily control a robot, offers manufacturers a way out.
It is on this project of democratization to the greatest number of industrial robotics that the BPI has granted its Deeptech development assistance to Fuzzy Logic. The file, complex, required a year of work.

La BPI accorde ce financement aux projets vecteurs d’innovations de rupture et qui se développent en lien étroit avec le monde de la recherche. Les logiciels de Fuzzy Logic offrent un potentiel économique important puisqu’ils s’inscrivent dans une perspective de réindustrialisation des territoires. Ce dernier point est un des axes majeurs portés par la BPI pour son plan industrie du futur.
Antoine Hoarau, CTO de Fuzzy Logic, explique : “Pour mener à bien notre ambition de permettre à n’importe quel industriel, quel que soit son niveau de compétence, d’utiliser la robotique industrielle, nos équipes R&D ont de nombreux enjeux à relever. Elles travaillent sur la génération et la planification de mouvements du robot à partir d’instructions basiques dans des environnements complexes voire changeants, tout en restant simple d’utilisation pour un novice et conforme aux normes de sécurité en vigueur. Globalement, notre objectif est qu’un opérateur puisse simplement montrer au robot quoi faire et qu’ensuite ce dernier exécute seul les demandes en toute sécurité. Ce projet exige une modélisation fine de l’environnement, une machine ergonomique et intelligente avec un minimum de charge cognitive. Nos recherches repoussent l’état de l’art de la robotique et ouvre des questionnements pour la communauté scientifique. ”

Ryan Lober, CEO of Fuzzy Logic, added: "This funding covers two years of R&D, which will allow us to greatly accelerate the resolution or exploration of these topics. We are opening up recruitments, mainly to talented researchers, engineers and developers who will solve these complex problems." He concludes: "Our software provides manufacturers with the ability to reappropriate their technological tool, to automate it, using previously impossible solutions. And thus to de-risk their appropriation of industrial robots and improve the return on their investments. We make factories independent by evolving their production through technology. This is what we call "Independence Automation". «

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