Arash Ajoudani is a tenured senior scientist at the Italian Institute of Technology (IIT), where he leads the Human-Robot Interfaces and physical Interaction (HRI²) laboratory. He also coordinates the AI for Manufacturing (AI4M) lab of the Leonardo labs, and is a principal investigator of the IIT-Intellimech JOiiNT lab. He received his PhD degree in Robotics and Automation from University of Pisa and IIT in 2014.
He is a recipient of the European Research Council (ERC) starting grant 2019 (Ergo-Lean), the coordinator of the Horizon-2020 project SOPHIA, and the co-coordinator of the Horizon-2020 project CONCERT. He is a recipient of the IEEE Robotics and Automation Society (RAS) Early Career Award 2021, and winner of the Amazon Research Awards 2019, of the Solution Award 2019 (MECSPE2019), of the KUKA Innovation Award 2018, of the WeRob best poster award 2018, and of the best student paper award at ROBIO 2013. His PhD thesis was a finalist for the Georges Giralt PhD award 2015 - best European PhD thesis in robotics. He was also a finalist for the Solution Award 2020 (MECSPE2020), the best conference paper award at Humanoids 2018, for the best interactive paper award at Humanoids 2016, for the best oral presentation award at Automatica (SIDRA) 2014, and for the best manipulation paper award at ICRA 2012.
He is the author of the book "Transferring Human Impedance Regulation Skills to Robots" in the Springer Tracts in Advanced Robotics (STAR), and several publications in journals, international conferences, and book chapters. He is currently serving as the executive manager of the IEEE-RAS Young Reviewers' Program (YRP), and as chair and representative of the IEEE-RAS Young Professionals Committee. He has been serving as a member of scientific advisory committee and as an associate editor for several international journals and conferences such as IEEE RAL, ICRA, IROS, ICORR, etc. He is a scholar of the European Lab for Learning and Intelligent Systems (ELLIS). His main research interests are in physical human-robot interaction, mobile manipulation, robust and adaptive control, assistive robotics, and tele-robotics.
Chiara Bartolozzi is a Researcher at the Italian Institute of Technology. She earned a degree in Engineering at the University of Genova (Italy) and a PhD in Neuroinformatics at ETH Zurich, developing analogue subthreshold circuits for emulating biophysical neuronal properties onto silicon and modelling selective attention on hierarchical multi-chip systems.
She is currently leading the Event-Driven Perception for Robotics group, with the aim of applying the "neuromorphic" engineering approach to the design of robotic platforms as enabling technology towards the design of autonomous machines.
This goal is pursued by inducing a paradigm shift in robotics, based on the emerging concept of Event-Driven (ED) sensing and processing. Similarly to their biological counterpart, and differently from traditional robotic sensors, ED sensory systems sample their input signal at fixed (and relative) amplitude changes, intrinsically adapting to the dynamics of the sensory signal: temporal resolution is extremely high for fast transitory signals and decreases for slower inputs.
This approach naturally leads to better robots that acquire, transmit and process information only when needed, optimising the use of resources, leading to real-time, low-cost, operation.
Chiara has participated in a number of EU funded projects, she is currently coordinating the European Training Network "NeuTouch", where 15 PhD students are studying how touch perception works in humans and animals, in order to develop artificial touch perception systems for robots and hand prostheses. As the leader of the educational activities of the coordination and support action NEUROTECH, she is co-organising the Neuromorphic Colloquium, a series of online events to build up educational material for the next generation of neuromorphic researchers.
She is an IEEE member, actively supporting the CAS and RAS societies. In 2020, she has co-chaired "AICAS2020", on Circuits and systems for efficient embedded AI.
Paolo Frasconi is Professor of Computer Engineering at the University of Florence. He previously held academic positions at KU Leuven, University of Cagliari, University of Wollongong, and Massachusetts Institute of Technology. His research interests are in the area of machine learning (e.g., neural networks, graphical models, kernel machines, and relational learning) bioinformatics (e.g., protein structure and function, small molecules), neuroinformatics and medicine. He has also contributed applications to natural language processing, text, music, and pattern recognition. These activities are collected in over 150 refereed papers collecting over 19000 citations and an h-index of 47 (Google Scholar, 2021). He is an Action Editor for Machine Learning journal since 2010 and has been Associate Editor for Artificial Intelligence Journal, IEEE Transactions on Knowledge and Data Engineering, IEEE Transactions on Neural Networks. Among other services, he has been Associate Program Chair for IJCAI 2022, Program Chair for ECML PKDD 2016, Program Chair for ILP 2010, Vice-Chair for ICDM 2003.
Vittorio Murino is a full professor at the University of Verona, Italy, and visiting scientist of PAVIS (Pattern Analysis and Computer Vision) department at the Istituto Italiano di Tecnologia, in Genova, Italy. From 2009 to 2019, he worked at the Istituto Italiano di Tecnologia in Genova, Italy, as director of the PAVIS (Pattern Analysis and Computer Vision) department. From 2019 to 2021, he joined the Ireland Research Centre of Huawei Technologies (Ireland) Co., Ltd. in Dublin, as Senior Video Intelligence Expert.
His main research interests include computer vision, pattern recognition and machine learning, nowadays focusing on deep learning approaches, domain adaptation and generalization, and multimodal learning for (human) behaviour analysis and related applications, such as video surveillance and biomedical imaging. Prof. Murino is co-author of more than 400 papers published in refereed journals and international conferences. Finally, prof. Murino is IEEE Fellow, IAPR Fellow, and ELLIS Fellow.
Alessandra Sciutti is Tenure Track Researcher, head of the CONTACT (COgNiTive Architecture for Collaborative Technologies) unit of the Italian Institute of Technology (IIT). With a background in Bioengineering, she received her PhD in Humanoid Technologies from the University of Genova in 2010. After two research periods in USA and Japan, in 2018 she has been awarded the ERC Starting Grant wHiSPER (www.whisperproject.eu), focused on the investigation of joint perception between humans and robots. She published more than 70 papers in international journals and conferences and participated in the coordination of the CODEFROR European IRSES project. She is currently Associate Editor for several journals, among which the International Journal of Social Robotics, the IEEE Transactions on Cognitive and Developmental Systems and Cognitive System Research. The scientific aim of her research is to investigate the sensory and motor mechanisms underlying mutual understanding in human-human and human-robot interaction.
Lorenzo Rosasco is full professor at the DIBRIS Department at the University of Genoa, a visiting professor at the Massachusetts Institute of Technology, and external collaborator at the Istituto Italiano di Tecnologia. He received his PhD from the University of Genoa in 2006 and has been visiting student at the Toyota Technological Institute at Chicago and at the Center for Biological and Computational Learning at MIT. He held a research scientist position at MIT between 2006 and 2009. He is the principal investigator of the Laboratory for Computational and Statistical Learning and a coordinator of the Machine Learning center of the University of Genova (MaLGa). In 2019 he obtained the ERC consolidator grant “Efficient algorithms for sustainable machine learning”. His research focuses on studying theory and algorithms for machine learning. He is known for his foundational work in machine learning as well as the development of sound large scale machine learning algorithms. He authored more than 100 peer-reviewed papers in international journals.
Agnieszka Wykowska is PI of the Social Cognition in Human-Robot Interaction (S4HRI) research line at the Italian Institute of Technology, Genova. She is also affiliated with the Luleå University of Technology, Sweden as adjunct professor in Engineering Psychology and with University of Manchester as Visiting Professor. She obtained PhD in Psychology from the Ludwig-Maximilians-University in Munich (LMU) in 2008. Her background is cognitive neuroscience (M.Sc. in neuro-cognitive psychology, LMU, 2006) and philosophy (M.A. in philosophy, Jagiellonian University Krakow, Poland, 2001). In 2016 she has been awarded an ERC Starting Grant “Intentional Stance for Social Attunement”: InStance Her research focuses on social cognitive neuroscience and human-robot interaction. She uses behavioral measures (eyetracking, psychophysics) and EEG in HRI research. She is Editor-in-Chief of International Journal of Social Robotics and an Associate Editor of Frontiers in Psychology (section Cognition). She is Core Member of the Ellis Society (European Laboratory for Learning and Intelligent Systems) and a Board Member of the Association of ERC Grantees (AERG). She has served as guest (co-)editor of a special issue of the Philosophical Transactions of the Royal Society B titled “From social brains to social robots: Applying neurocognitive insights to human-robot interaction (2018/2019), and she repeatedly serves as Program Committee member for various conferences, such as “International Conference on Social Robotics”, or “Human-Robot Interaction”.