6 citations · 14 across the 6 of their papers we have counts for
7 papers
How to Sense the World: Leveraging Hierarchy in Multimodal Perception for Robust Reinforcement Learning Agents
Miguel Vasco, Hang Yin, Francisco S. Melo +1
This work addresses the problem of sensing the world: how to learn a multimodal representation of a reinforcement learning agent's environment that allows the execution of tasks un…
FAtiMA Toolkit -- Toward an effective and accessible tool for the development of intelligent virtual agents and social robots
Samuel Mascarenhas, Manuel Guimarães, Pedro A. Santos +3
More than a decade has passed since the development of FearNot!, an application designed to help children deal with bullying through role-playing with virtual characters. It was al…
Explainable Agents Through Social Cues: A Review
Sebastian Wallkotter, Silvia Tulli, Ginevra Castellano +2
The issue of how to make embodied agents explainable has experienced a surge of interest over the last three years, and, there are many terms that refer to this concept, e.g., tran…
Playing Games in the Dark: An approach for cross-modality transfer in reinforcement learning
Rui Silva, Miguel Vasco, Francisco S. Melo +2
In this work we explore the use of latent representations obtained from multiple input sensory modalities (such as images or sounds) in allowing an agent to learn and exploit polic…
Nutty-based Robot Animation -- Principles and Practices
Tiago Ribeiro, Ana Paiva
Robot animation is a new form of character animation that extends the traditional process by allowing the animated motion to become more interactive and adaptable during interactio…
Learning multimodal representations for sample-efficient recognition of human actions
Miguel Vasco, Francisco S. Melo, David Martins de Matos +2
Humans interact in rich and diverse ways with the environment. However, the representation of such behavior by artificial agents is often limited. In this work we present \textit{m…
Cognitive Architecture for Mutual Modelling
Alexis Jacq, Wafa Johal, Pierre Dillenbourg +1
In social robotics, robots needs to be able to be understood by humans. Especially in collaborative tasks where they have to share mutual knowledge. For instance, in an educative s…