Dear Colleagues,
We are delighted to invite you to the Spring School on Machine Learning
and Perception for Social Awareness
https://www.sweet.unina.it/sweet-spring-school/, taking place on 13–16
April 2026 in Catania, Italy.
Organized by the SWEET project consortium in conjunction with the TRAIL
Conference https://sites.google.com/view/trail-conference, this Spring
School offers a unique opportunity to deepen your knowledge in *social
perception for service robotics, *with a special emphasis on cutting-edge
machine learning, sensing technologies, and algorithmic approaches that
enable robots to understand and interact with humans in socially aware ways.
The programme features a mix of lectures and hands-on practical
sessions delivered
by* leading figures from academia and industry, such as:*
Participation in the school is free of charge.
Participants should cover only all logistical costs, including travel and
accommodation expenses.
How to Apply:
To participate, please send the following documents via email to
infosweet@unina.it
infosweet@unina.it by February 28, 2026:
- A short Statement of Interest (max 1 page)
- Your current CV
- A Letter of Support from your Tutor/Supervisor
Acceptance notifications will be sent out by 15 March 2026.
Don’t miss this excellent opportunity to engage with cutting-edge research
and expand your expertise in machine learning, perception, and social
awareness for robotics!
Silvia Rossi and Luigi D’Arco
on behalf of the SWEET consortium https://www.sweet.unina.it/
Dear Colleagues,
We are delighted to invite you to the *Spring School on Machine Learning
and Perception for Social Awareness*
<https://www.sweet.unina.it/sweet-spring-school/>*,* taking place on *13–16
April 2026* in *Catania, Italy*.
Organized by the *SWEET* project consortium in conjunction with the TRAIL
Conference <https://sites.google.com/view/trail-conference>, this Spring
School offers a unique opportunity to deepen your knowledge in *social
perception for service robotics, *with a special emphasis on cutting-edge
machine learning, sensing technologies, and algorithmic approaches that
enable robots to understand and interact with humans in socially aware ways.
The programme features a mix of *lectures and hands-on practical
sessions* delivered
by* leading figures from academia and industry, such as:*
- Prof. Alessandro Vinciarelli <http://vinciarelli.net/>- University of
Glasgow
- Prof. Ing. Igor Farkaš <http://cogsci.fmph.uniba.sk/~farkas/> -
Comenius University Bratislava
- Prof. Lorenzo Baraldi <https://ailb-web.ing.unimore.it/~lorenzo/> -
University of Modena and Reggio Emilia
- Prof. Gabriel Skantze <https://www.kth.se/profile/skantze> - KTH Royal
Institute of Technology
- Prof. Oya Celiktutan <https://www.kcl.ac.uk/people/oya-celiktutan> -
King’s College London
- Prof. Antonio Chella
<https://www.unipa.it/persone/docenti/c/antonio.chella> - University of
Palermo
- Dr. Anna Belardinelli <https://www.honda-ri.de/people/> - Honda
Research Institute
- Prof. Angelo Cangelosi
<https://research.manchester.ac.uk/en/persons/angelo.cangelosi> -
University of Manchester
- Dr. Alessandra Sciutti
<https://www.iit.it/it/people-profile/-/people/alessandra-sciutti>-
Italian Institute of Technology
- Dr. Thomas Weisswange <https://www.honda-ri.de/people/> - Honda
Research Institute
*Participation in the school is free of charge.*
Participants should cover only all logistical costs, including travel and
accommodation expenses.
*How to Apply:*
To participate, please send the following documents via email to
*infosweet@unina.it
<infosweet@unina.it>* by *February 28, 2026*:
- A short Statement of Interest (max 1 page)
- Your current CV
- A Letter of Support from your Tutor/Supervisor
Acceptance notifications will be sent out by *15 March 2026*.
Don’t miss this excellent opportunity to engage with cutting-edge research
and expand your expertise in machine learning, perception, and social
awareness for robotics!
Silvia Rossi and Luigi D’Arco
on behalf of the *SWEET consortium* <https://www.sweet.unina.it/>