In February 20204 was held the first edition of the Social Robotics, Artificial Intelligence and Multimedia (SoRAIM) Winter School, which, with the support of SIGMM attracted more than 50 students and young researchers to learn, discuss and first-hand experiment in topics related to social robotics. The event’s success calls for further editions in upcoming years.
Rationale for SoRAIM
SPRING, a collaborative research project funded by the European Commission under Horizon 2020, is coming to an end in May 2024. Its scientific and technological objectives were to test a versatile social robotic platform within a hospital and have it perform social activities in a multi-person, dynamic setup are in most part achieved. In order to empower the next generation of young researchers with concepts and tools to answer tomorrow’s challenges in the field of social robotics, one must tackle the issue of knowledge and know-how transmission. We therefore chose to provide a winter school, free of charge to the participants (thanks to the additional support of SIGMM), so that as many students and young researchers from various horizons (not only technical fields) could attend.
Contents of the Winter School
The Social Robotics, Artificial Intelligence and Multimedia (SoRAIM) Winter School took place from 19 to 23 February 2024 in Grenoble, France. An introduction to the contents of the school and the context provided by the SPRING project was provided, and a demonstration combining social navigation and dialogue interaction was given on the first day. This triggered the curiosity of the participants, and a spontaneous Q&A session with the contributions, questions and comments from the participants to the school was held.
The school spanned over the entire week, with 17 talks, 8 speakers from the H2020 SPRING project, and 9 invited speakers external to the project. The school also included a panel discussion on the topic “Are social robots already out there? Immediate challenges in real-world deployment”, a poster session with 15 contributions, and two hands-on sessions where the participants could choose among the following topics: Robot navigation with Reinforcement Learning, ROS4HRI: How to represent and reason about humans with ROS, Building a conversational system with LLMs using prompt engineering, Robot self-localisation based on camera images, and Speaker extraction from microphone recordings. A social activity (visit of Grenoble’s downtown and Bastille) was organised on Thursday afternoon, allowing participants to mingle with speakers and to discover the host town’s history.
One of the highlights of SoRAIM was its Panel Session, which topic was “Are social robots already out there? Immediate challenges in real-world deployment”. Although no definitive answers were found, the session stressed the fact that challenges remain numerous for the deployment of actual social robots in our everyday lives (at work, at home). On the technical side, because robotic platforms are subject to certain hardware and software constraints. On the hardware side, because sensors and actuators are restricted in size, power and performance, since the physical space and the battery capacity are also limited. On the software side, because large models can be used if lots of computing resources are permanently available, which is not always the case, since they need to be shared between the various computing modules. Finally on the regulatory and legal side, because the rise of AI use is fast and needs to be balanced with ethical views that address our society’s needs; but the construction of proper laws, norms and their acknowledgement and understanding by stakeholders is slow. In this session the panellists surveyed all aspects of the problems at hand and provided an overview of the challenges that future scientists will need to solve in order to take social robots out of the labs and into the world.
Attendance & future perspectives
SoRAIM attracted 57 participants through the whole week. The attendees were diverse, as was aimed initially, with a breakdown of 50% of PhD students, 20% of young researchers (public sector), 10% of engineers and young researchers (private sector), and 20% of MSc students. Of particular focus, the ratio of women attendees was close to 40%, which is double of the usual in this field. Finally, in terms of geographic spread, attendees came in majority from other European countries (17 countries total), with just below 50% attendees coming from France. Following the school, a satisfaction survey was sent to the attendees in order to better grasp which elements were the most appreciated in view of a longer-term objective to hold this winter school as a serial event. Given the diverse background of attendees, opinions on contents such as the hands-on session varied, but overall satisfaction was very high, which shows the interest of the next generation of researchers for more opportunities to learn in this field. We are currently reviewing options to held similar events each year or every two years, depending on available funding.
More information about the SoRAIM winter school is available on the webpage: https://spring-h2020.eu
Sponsors
SoRAIM was sponsored by the H2020 SPRING project, Inria, the University Grenoble Alpes, the Multidisciplinary Institute of Artificial Intelligence and by ACM’s Special Interest Group on Multimedia (SIGMM). Through ACM SIGMM, we received significant funding which allowed us to invite 14 students and young researchers, members of SIGMM, from abroad.
Full list of contributions
All the talks are available in replay on our YouTube channel: https://www.youtube.com/watch?v=ckJv0eKOgzY&list=PLwdkYSztYsLfWXWai6mppYBwLVjK0VA6y
The complete list of talks and posters presented at SoRAIM Winter School 2024 can be found here: https://spring-h2020.eu/soraim/
In the following, the list of talks in chronological order:
- Overall description of the software architecture used in the SPRING project, by Dr. Séverin lemaignan (https://academia.skadge.org/, PAL Robotics).
- Autonomous Robots in the Wild – Adapting From and for Interaction, by Prof. Marc Hanheide (https://www.hanheide.net/, University of Lincoln).
- AI and Children’s Rights: Lessons Learnt from the Implementation of the UNICEF Policy Guidance to Social Robots for Children, by Dr. Vasiliky Charisi (https://vickycharisi.wordpress.com/about/, University College London).
- Experimental Validation of the SPRING-ARI robotic platform, by Cyril Liotard (https://www.linkedin.com/in/cyril-liotard-0a4b1b, ERM Automatismes).
- Ethically Aligned Design for Social Robotics, by Prof. Raja Chatila (https://www.isir.upmc.fr/personnel/chatila/, Sorbonne Université).
- Opportunities and Challenges in Putting AI Ethics in Practice: the Role of the EU, by Dr. Mihalis Kritikos (https://www.linkedin.com/in/mihalis-kritikos-43243087/, Ethics and Integrity Sector of the European Commission).
- Ethics and Robot Acceptance in a Day-care Hospital, by Prof. Anne-Sophie Rigaud (http://www.lusage.org/pr-anne-sophie-rigaud1.html, AP-HP).
- Audio-Visual Speech Source Separation and Speaker Tracking, by Prof. Wenwu Wang (https://www.surrey.ac.uk/people/wenwu-wan, University of Surrey).
- Robust Audio-Visual Perception of Humans, by Prof. Sharon Gannot (https://sharongannot.group/, bar-ilan university).
- Predictive modelling of turn-taking in human-robot interaction, by Prof. Gabriel Skantze (https://www.kth.se/profile/skantze, KTH, Kungliga Tekniska Högskolan).
- Multi-User Spoken Conversations with Robots, by Dr. Daniel Hernandez Garcia (https://dhgarcia.github.io/, Heriot Watt University).
- Learning Robot Behaviour, by Dr. Chris Reinke (https://www.scirei.net/, Inria at Univ. Grenoble Alpes).
- Human-Interactive Mobile Robots: from Learning to Deployment, by Prof. Xuesu Xiao (https://cs.gmu.edu/~xiao/, George Mason University).
- Human-Presence Modeling and Social Navigation of an Assistive Robot Solution for Detection of Falls and Elderly’s Support, by Prof. Antonios Gasteratos (https://robotics.pme.duth.gr/antonis/, Democritus University of Thrace).
- Environment Mapping, Self-localisation and Simulation, by Dr. Michal Polic (https://people.ciirc.cvut.cz/~policmic/, CVUT).
- Robotic Coaches for Mental Wellbeing: From the Lab to the Real World, by Prof. Hatice Gunes (https://www.cl.cam.ac.uk/~hg410/, University of Cambridge)
- Multi-Modal Human Behaviour Understanding, by Dr. Lorenzo Vaquero Otal (https://citius.gal/team/lorenzo-vaquero-otal/, University of Trento).