The business model of LuxAI is developing and constructing so-called social robots. Such robots can be used, for example, in the educational or health system, where they would support trainers and therapists in their work. The robots can be programmed to practice vocabulary with children or to make rehabilitation exercises with stroke patients.
Luxembourg, 20. July 2016 - The startup LuxAI was created following a research project at the Interdisciplinary Centre for Security, Reliability and Trust (SnT) of the University of Luxembourg, funded by the Luxembourg National Research Fund (FNR) under its Proof of Concept scheme. The business model of LuxAI is developing and constructing so-called social robots. Such robots can be used, for example, in the educational or health system, where they would support trainers and therapists in their work. The robots can be programmed to practice vocabulary with children or to make rehabilitation exercises with stroke patients.
The "AI" in LuxAI stands for Artificial Intelligence. "Robots that are supposed to interact with humans have to process a great deal of information very quickly, and adapt their behaviours according to the interaction," says the CEO of LuxAI, Dr. Pouyan Ziafati. Ziafati wrote his doctoral thesis on artificial intelligence and robotics at the SnT - and founded LuxAI based on it. "Our robot is the first social robot to come out of Luxembourg," says Ziafati: "We have already run the prototype through practical tests. It received excellent scores for its social expressiveness, emotionality and ease of use."
The heart of every robot is its programming - the software. LuxAIs social robot is based on a so-called Robot Agent Programming Language, which Ziafati designed for his doctorate and adapted to the needs of social robots. Such programming, however, is only accessible to IT experts. "Practitioners who want to teach a robot how to train stroke patients, for example, cant learn their way into it," says Ziafati. "They need an interface by which they can program the robot intuitively and naturally"
LuxAI in cooperation with the Autonomous Robot Lab of the Computer Science and Communications Research Unit (CSC) of the University of Luxembourg has developed this very interface. It is based on the same Android platform as is widespread on smartphones, and can make social robots suitable for the mass market, as Ziafati assures. "Non-IT-expert people have made the first tests with our robots. They were able to program the robots for their purpose within 20 minutes. Our software lets anyone do it." Ziafati sees possibilities for many fields of application: as learning support for autistic children, in schools, in the entertainment industry or in geriatric care. "Social robots will never replace qualified personnel - but they can support them, since they have unlimited time and can take over routine tasks," says Ziafati. LuxAI is now working with Fondation Autisme Luxembourg and three departments in the University of Luxembourg on developing applications for autism therapy and behavioural regulation, geriatric medicine and teaching foreign languages to children in kindergartens.
Prof. Björn Ottersten, Director of the SnT, is equally pleased with the quick success of LuxAI: "LuxAI shows how our efforts to translate research results into concrete applications of high social benefit are increasingly bearing fruit. There is a growing desire among our scientists to use their findings entrepreneurially as well. We are systematically supporting them on this." For LuxAI, the support comes through the Proof of Concept (PoC) funding programme of the Luxembourg National Research Fund (FNR). "This enabled us to develop the first prototype of our robot," Ziafati relates. "Now we can make a successful product from it."
Launched in 2009 by the University of Luxembourg, SnT is an internationally recognised leading research institute for secure, reliable, and trustworthy information and communications technologies (ICT). Together with external partners SnT establishes Luxembourg as a European centre of excellence and innovation in this field, maximising its impact by following an interdisciplinary research approach, taking not only technical aspects into account but also addressing issues relating to economy and industry, regulatory frameworks and humanities. SnTs partnership programme provides a valuable platform for interaction, innovation and collaboration between university researchers and external partners from industry, the public sector as well as start-ups and thus strongly deepens Luxembourgs expertise in the ICT sector. Further information: www.uni.lu/snt
About Lux AI
LuxAI is an innovative start-up specialized in disruptive robotic solutions for education, healthcare and entertainment. The company was created following the success of an FNR Proof-of-Concept project at SnT, University of Luxembourg. LuxAI uses the latest advancements in Artificial Intelligence and Robotics in building social robots for assisting people. In LuxAI, our mission is making socially assistive robots economical and user-friendly, in order to enable all teachers, therapists and caregivers to use advanced robots for their everyday work of improving the health and education of people. Our first product, QT, is a humanoid robot the size of a four-year-old child. QT is capable of generating a wide variety of facial expressions, body gestures and behaviours to engage people in social interactions. Our disruptive AI-based software technology allows you to instantly learn how to use our robots and create new robot applications to meet the unique needs of each individual and application.
For more information, visit www.luxai.eu
The Luxembourg National Research Fund (FNR) is the main funder of research with impact in Luxembourg. Proof of Concept (PoC) is the FNRs facilitation programme for successful commercialisation of research results. With the goal of encouraging the translation of high impact research into commercially viable innovations, the PoC programme provides financial support to universities and research institutes in Luxembourg, to help them make their research ideas more attractive to potential investors.