Gabriele Giudici is a dynamic robotics researcher and software engineer with a passion for advancing human-robot interaction. He holds a PhD in Computer Science, Robotics, and Machine Learning from Queen Mary University of London, where he developed innovative haptic telerobotics systems and pioneered tactile sensing technologies for robotic hands.

Gabriele’s research journey began at Politecnico di Milano, where he earned both his BSc in Engineering of Computer Systems and MSc in Automation and Control Engineering.

Currently, Gabriele is a Senior Research Fellow in Robotics and AI at UCL (University College London), working on projects such as MagTecSkin, which focuses on creating flexible robotic skin with magnetic sensors to enhance robots’ sense of touch. His work spans autonomous systems, bio-inspired control, neural networks, and machine learning, with applications in manufacturing, healthcare, and minimally invasive surgery.

Gabriele is actively involved in the robotics community, serving as a reviewer for IEEE conferences, journals and organizing workshops. 

Lorenzo Jamone is an Associate Professor in Robotics & AI at the Department of Computer Science of University College London (UCL), where he leads the CRISP group: Cognitive Robotics and Intelligent Systems for the People. He received the MS degree (honors) in computer engineering from the University of Genoa (2006), and the PhD degree in humanoid technologies from the University of Genoa and the Italian Institute of Technology (2010), in Genoa (Italy). 

He was Associate Researcher at the Takanishi Laboratory of Waseda University (2010-2012), in Tokyo (Japan), and at the Computer and Robot Vision Laboratory of the Instituto Superior Técnico (2012-2016), in Lisbon (Portugal). He was a Lecturer (2016-2020) and then a Senior Lecturer (2020-2024) in Robotics at the Queen Mary University of London (UK), where he initially funded the CRISP group and he worked within ARQ (Advanced Robotics at Queen Mary). He has over 140 publications with an H-index of 31. His current research interests include cognitive robotics, robot learning, robotic manipulation, tactile sensing. 

http://lorejam.blogspot.com/

https://lorejam.wixsite.com/crisp

https://www.youtube.com/channel/UCvywZrvw5dtFtkDbd-OmhaA/videos

Rania Rayyes is a Junior Professor for AI & Robotics at the Karlsruhe Institute of Technology (KIT), Germany, since December 2022. Prior to joining KIT, she worked as postdoctoral researcher for two years at the Institute for Robotics and Process Informatics (IRP), TU Braunschweig, Germany. She received her Ph.D. degree in Computer Science (specializing in AI & Robotics) from TU Braunschweig in 2020. During her Ph.D., she did a research internship at Sony CSL in Japan for six months. 

R. Rayyes has received several awards and grants during her academic career including Robotics Talent Award for her Ph.D. dissertation and the Academic Distinction Graduate Award for her Mechatronics Bachelor’s degree. R. Rayyes is a board member of the international Intrinsic-Motivation Learning (IMOL) community, and a PI in The Robotics Institute Germany (RIG). 

Her research focuses on developing AI systems for real-world robotic applications, including: intuitive interactive human-robot learning, uncertainty-aware learning, and vision-based learning.

Yue Li is a Senior Research Fellow in Robotics and AI at University College London (UCL). Her research focuses on flexible tactile sensing for robots and the application of artificial intelligence in robotic systems, with the aim of enhancing robotic adaptability and safe physical interaction in complex, real-world environments.

She holds a PhD in Biomedical Engineering from King’s College London, where her doctoral research focused on the development of haptic feedback systems for minimally invasive surgical robots.

Yue has led and contributed to several interdisciplinary projects involving robotic sensing, controlling, modeling, and manipulation. She also  implements AI algorithms, including deep learning, reinforcement learning, and sensor fusion techniques, with applications in surgical robotics, soft robotics, assistive technologies, healthcare robotics, and human-robot interaction to enable robots to operate safely and intelligently in unstructured environments.

Beyond academia, Yue is actively involved in technology translation and commercialization, with a strong interest in applying robotic and AI technologies to clinical and industrial settings. She values cross-disciplinary collaboration and is committed to advancing robotic systems that are both technically robust and socially impactful.

Edgar Welte is pursuing his PhD at the Karlsruhe Institute of Technology (KIT) in the Institute for Material Handling and Logistics (IFL), specializing in robotics and artificial intelligence. 

His current research focuses on efficient and intuitive learning from humans for real-world robotic applications in industrial contexts. He holds a Master’s degree in Robotics, Cognition, and Intelligence from the Technical University of Munich, with an ERASMUS term at KTH Stockholm. He earned his BEng in Mechatronics from Technische Hochschule Ingolstadt and completed a Mechatronics Technician apprenticeship at AUDI AG. 

Edgar brings experience from both academia and industry, with roles at AUDI AG, Munich Institute of Robotics and Machine Intelligence (MIRMI), and Bentley Motors. His practical work encompasses automotive infotainment systems, the development of dexterous robotic hands, tactile sensing, and a variety of mechatronic and robotic projects.