With this workshop, we will bring together interested students, academics and industrial participants from the field of Cyber Physical Systems. Overall the workshop will discuss how CPS is best described by the bringing together of a variety of techniques and concerns. In particular, we will have invited speakers who will talk about human interfaces, surgical applications of autonomy and modern perceptual systems including the use of machine learning. These will anchor poster sessions from other SICSA participants and set the scene for a multi-disciplinary discussion.
We will bring together researchers and students from multiple Scottish as well as from the rest of Europe, conducting cutting-edge research in cyber physical systems.
The Workshop in Cyber Physical Systems is taking place on 16 November in room G.03, Informatics Forum, University of Edinburgh.
Schedule 16.11.2018 08:45-16:00
08:45-09:15 Registration with coffee and biscuits09:15-09:45 Introduction (Organisers: Katrin Lohan and Subramanian Ramamoorthy)
09:45-10:30 Felicity Mehendale (Honorary Senior Clinical Lecturer, University of Edinburgh)10:30 - 11:00 Discussion session - Opportunities in healthcare
11:00 - 11:15 Coffee break
11:15 - 12:00 Dr. Alessandra Sciutti (funded by SICSA) (Italian Institute of Technology and University of Genova)12:00 - 12:30 Discussion session - Machine learning for CPS
12:30-13:30 Lunch break
13:30 - 14:15 Dr Jason Alexander (funded by SICSA) (Lancaster University)14:15 - 14:45 Discussion session - Humans in the CPS loop
14:45 - 15:45 Poster session15:45 - 16:00 Closing remarks and next steps
Title and Abstract of invited talks:
Dr. Alessandra Sciutti, Italian Institute of Technology
Title: Mutual understanding for better human-robot interaction.
Abstract:Humans show a great natural ability at interacting with each other. Such efficiency in joint actions depends on a synergy between planned collaboration and emergent coordination, a subconscious mechanism based on a tight link between action execution and perception. This link supports phenomena as mutual adaptation, synchronization, and anticipation, which cut drastically the delays in the interaction and the need for complex verbal instructions and result in the establishment of intuitive social interaction. We propose that robots should leverage these natural mechanisms to attain mutual understanding with their human partners, by sending and understanding those unconscious signals (e.g., unintentional movements or gazing) which are intrinsic to human movement and provide prospective information about the partner’s goals, needs and attentional status. To this aim, I will present several examples of research where the humanoid robot iCub is used as an “interactive probe” to unveil the sensory and motor mechanisms underlying human–human interaction and I will argue that modelling these mechanisms is an important step toward the generation of more human-friendly robots.
Dr. Alexander, Lancaster University
Title: Shape-changing Displays: how can robotics radically change a touchscreen? Abstract:Shape-changing displays dynamically change their physical geometry based on the underlying digital content. They have wide application from ‘pop out’ buttons on touch-screens to novel physical data representations. While Human-Computer Interaction researchers have begun to explore this area, their efforts are constrained by technology availability and limited cross-disciplinary collaboration with researchers with mechatronics, robotics, and material science expertise. This talk will describe shape-changing displays and the grand challenges faced by the field. It will particularly highlight areas where robotics can play a key role in their development as an undisguised call for collaborators who are interested in bringing their expertise to this area.
To register:https://www.eventbrite.co.uk/e/sicsa-workshop-on-cyber-physical-systems-... ref=enivtefor001&invite=MTU0NDE3NDAvYWNhZGVtaWNzQGVkaW5idXJnaC1yb2JvdGljcy5vcmcvMA%3D%3D%0A&utm_source=eb_email&utm_medium=email&utm_campaign=inviteformalv2&utm_term=eventpage