HanS was created by members of the Intelligent Systems and Data Science (ISDS) team at the Knowledge Media Institute (KMi), Open University. The ISDS team brings together researchers and engineers with expertise in robotics, artificial intelligence, machine learning, computer vision, and data science. Their work focuses on building intelligent systems that can understand, reason, and act in complex real-world environments. By combining cutting-edge research with practical experimentation, the team has developed innovative technologies like HanS to explore how autonomous systems can support real-world tasks such as health and safety monitoring.
Starting from his master thesis he worked on robotics, mostly on autonomous off-road vehicles, with a particular focus on software development and architectural aspect. His PhD work revolve around how to make robotic development more accessible to the different actors involved.
Agnese is a post-doctoral researcher at the Knowledge Media Institute (KMi), the Open University, UK. Her research focuses on Computer Vision applications in Robotics, with a particular focus on Neuro-symbolic Learning methods. She is interested in how robots can autonomously build and maintain a visual model of the environment in which they are deployed. Agnese is also a Visiting Fellow at Politecnico di Milano (Italy), thanks to funding from the L'Oreal-UNESCO "For Women in Science" Program. She obtained a PhD In Artificial Intelligence from the Open University and holds a MS in Information Sciences and Technology from The Pennsylvania State University.
Enrico Daga has carried out R&D on Web Semantics first at the Italian National Research Council (CNR) and then at the Knowledge Media Institute of The Open University in the UK, where he obtained a PhD. Enrico is currently Senior Research Fellow in KMi.
I lead the KMi's Intelligent Systems and Data Science research group, which carries out research in a variety of areas relevant to the development of user-centric, intelligent, data-intensive solutions, including Data Science, Semantic Web Technologies, Visual Analytics, Robotics, Large-Scale Data Infrastructures, Internet of Things, Machine Learning, Human-Computer Interaction and others. Application domains include (but are not limited to) Smart Cities, News Analytics, Scholarly Data and Digital Humanities and Learning.
