gaips_bea image1 image2 image3 image4 image5 gaips_ecute_beach_bar_banner gaips_ecute_train_incorrect_ticket_banner
ANIMATAS Webpage icon

Collaborators: Ana Paiva, Francisco S. Melo
Keywords: Social agents; social robotics; multi-agent systems; human-agent interaction; groups and teams.


ANIMATAS (MSCA – ITN – 2017 – 765955 2) is a H2020 Marie Sklodowska Curie European Training Network funded by Horizon 2020. The ANIMATAS project  focuses on the following objectives:

1) Exploration of the fundamental questions on the perception by people of the interconnections between robots or virtual characters’ appearances and behaviours.

2) Development of new social learning mechanisms that can deal with different types of human intervention and allow robots and virtual characters to learn in an unconstrained manner.

3) Development of new approaches for robots and virtual characters’ personalised adaptation to human users in unstructured and dynamically evolving social interactions.


Explainability in Autonomous Pedagogical Agents
pdf iconbib icon
Silvia Tulli, , AAAI/SIGAI 2020 Doctoral Consortium, February, 2020
Explainable Agency by Revealing Suboptimality in Child-Robot Learning Scenarios
pdf iconbib icon
Silvia Tulli, Lecture Notes in Computer Science book series, Vol. 12483, pg. 23-35, International Conference on Social Robotics, November, 2020
Effect of Agents’ Transparency on Teamwork
pdf iconbib icon
Silvia Tulli and Filipa Correia and Samuel Mascarenhas and Samuel Gomes and Francisco S. Melo and Ana Paiva, Springer post-proceedings Lecture Notes in Artificial Intelligence (LNAI)
Great Expectations & Aborted Business Initiatives: The Paradox of Social Robot Between Research and Industry
pdf iconbib icon
Silvia Tulli, , BNAIC/BENELEARN 2019, November, 2019