AI Robolab Equipments
Machine learning equipment: Tensorbooks
Tensorbooks are Machine learning ready-to-use laptops whose configuration is optimized to be used by students/researchers interested in machine learning applications
Autonomous, programmable humanoid robot developed by Softbank Robotics. NAO is used for research and teaching purposes.
Pepper is a semi-humanoid robot manufactured by SoftBank Robotics (formerly Aldebaran Robotics). The AI Robolab uses Peppers in applications inspired from the Robocup@home as well as robot recommender system. The AI Robolab is happy to provide support for researchers interested in using Pepper robots. AI Robolab is equipped with 2 Pepper robots.
QTrobot is a robot developed by the LuxAI which is a spinoff of the University of Luxembourg. QTrobot Expressive Humanoid Social Robot. QT has been originally developed to provide therapy for autistic children. But is today used for AI Research and teaching. QTRobot is designed to be used by everyone since it offers Code-Less Programming … Continued
Scope and Aims
The AI Robolab is an AI lab created in 2009 at the university of Luxembourg. Following the big 5 terminology explaining the scope of AI, the AI Robolab scope covers Natural interaction (Point 4) and Societal Impact (Point 5). The former is about AI that “strives to create agents that interact naturally with humans” whereas the latter aims to study how AI can “impact society in both positive and negative ways.”
Based on this view, the AI Robolab objectives are threefold:
Research : The AI RoboLab in general provides a key contribution to shaping a digital, healthy and sustainable future.
- Digital Transformation: the pillar on AI ethics addresses ethical, cultural and legal questions around digitalisation, in collaboration with a newly created Center for Digital Ethics. Moreover, it collaborates with C2DH on digital humanities, and it has an interest in space AI.
- Medicine and Health: the pillar on social robotics contributes to digital health.
Education. The AI RoboLab contributes to a personalised, innovative and high-quality teaching and learning across the University
- Teaching and Learning across the university. The AI RoboLab embeds project-based learning as its preferred mode of teaching, enabling personalized training. The C21 is one of the main lab’s projects in this direction.
fostering a dynamic, diverse and international student community: the AI RoboLab hosts yearly many student internships from all over the world (for a list of the ongoing projects, please refer to this page).
Impact: The AI RoboLab contributes to the social, cultural and economic development of Luxembourg and the world.
- Together with its spin-off company LuxAI, it provide support and guidance to researchers, staff and students in the transfer of ideas and discoveries into the socio-economic sphere through the creation of spin-offs.
- The AI RoboLab promote entrepreneurial thinking and creativity as transversal skills to students and young researchers.
- With its pillar on computational creativity, and the AI&Art pavilion at Esch2022, it is deepening dialogue and engagement with interests groups and the general public.
The AI Robolab seeks to provide help to all DCS members interested in using the robots for research or teaching purposes. The AI Robolab is looks forward for collaborations.
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Ongoing AI Robolab Projects
Funded by the Fonds National de la Recherche Luxembourg in the framework of their partnership block grant programme IPBG, the University of Luxembourg has created the COLLABORATION 21 (C21) programme. It teams up researchers from the University with Cisco – the world leader in collaboration technologies and SCRIPT – Luxembourg’s national agency for innovation and … Continued
Social Robotics aims to improve the robots’ social capabilities and enable robots to work alongside with humans by providing emotional, cognitive and social cues to encourage the user(s) development and achieving a given goals. Social robots tackle the challenges of motivating the end-users, coaching, entertaining and rehabilitating by focusing on non-physical interaction.Our contributions in the domain of social robots are carried out in research, teaching, and outreach activities