Search Results for author:
Found 28 papers, 7 papers with code
How much informative is your XAI? A decision-making assessment task to objectively measure the goodness of explanations
There is an increasing consensus about the effectiveness of user-centred approaches in the explainable artificial intelligence (XAI) field.
Real-time Addressee Estimation: Deployment of a Deep-Learning Model on the iCub Robot
Addressee Estimation is the ability to understand to whom a person is talking, a skill essential for social robots to interact smoothly with humans.
All by Myself: Learning Individualized Competitive Behaviour with a Contrastive Reinforcement Learning optimization
In this paper, we propose a novel model composed of three neural layers that learn a representation of a competitive game, learn how to map the strategy of specific opponents, and how to disrupt them.
To Whom are You Talking? A Deep Learning Model to Endow Social Robots with Addressee Estimation Skills
Communicating shapes our social word.
I am Only Happy When There is Light: The Impact of Environmental Changes on Affective Facial Expressions Recognition
Human-robot interaction (HRI) benefits greatly from advances in the machine learning field as it allows researchers to employ high-performance models for perceptual tasks like detection and recognition.
Incorporating Rivalry in Reinforcement Learning for a Competitive Game
Recent advances in reinforcement learning with social agents have allowed such models to achieve human-level performance on specific interaction tasks.
CIAO! A Contrastive Adaptation Mechanism for Non-Universal Facial Expression Recognition
We finalize our study by discussing how CIAO positions itself within the range of recent findings on non-universal facial expressions perception, and its impact on facial expression recognition research.
Facial Expression Recognition
Facial Expression Recognition (FER)
+1
Robots with Different Embodiments Can Express and Influence Carefulness in Object Manipulation
Humans have an extraordinary ability to communicate and read the properties of objects by simply watching them being carried by someone else.
Synthesis and Execution of Communicative Robotic Movements with Generative Adversarial Networks
Object manipulation is a natural activity we perform every day.
The world seems different in a social context: a neural network analysis of human experimental data
Human perception and behavior are affected by the situational context, in particular during social interactions.
A User-Centred Framework for Explainable Artificial Intelligence in Human-Robot Interaction
The framework aims to provide a structure for interactive XAI solutions thought for non-expert users.
Explainable artificial intelligence
Explainable Artificial Intelligence (XAI)
From Movement Kinematics to Object Properties: Online Recognition of Human Carefulness
This study is a step towards endowing a humanoid robot with this last capability.
Property-Aware Robot Object Manipulation: a Generative Approach
When transporting an object, we unconsciously adapt our movement to its properties, for instance by slowing down when the item is fragile.
I Only Have Eyes for You: The Impact of Masks On Convolutional-Based Facial Expression Recognition
We evaluate how the recently proposed FaceChannel adapts towards recognizing facial expressions from persons with masks.
Facial Expression Recognition
Facial Expression Recognition (FER)
Cognitive architecture aided by working-memory for self-supervised multi-modal humans recognition
The ability to recognize human partners is an important social skill to build personalized and long-term human-robot interactions, especially in scenarios like education, care-giving, and rehabilitation.
Careful with That! Observation of Human Movements to Estimate Objects Properties
Our final goal is to enable a robot to autonomously infer the degree of care required in object handling and to discriminate whether the item is light or heavy, just by observing a human manipulation.
Self-supervised reinforcement learning for speaker localisation with the iCub humanoid robot
In the future robots will interact more and more with humans and will have to communicate naturally and efficiently.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+3
Incorporating Rivalry in Reinforcement Learning for a Competitive Game
Recent advances in reinforcement learning with social agents have allowed us to achieve human-level performance on some interaction tasks.
The FaceChannelS: Strike of the Sequences for the AffWild 2 Challenge
Predicting affective information from human faces became a popular task for most of the machine learning community in the past years.
The FaceChannel: A Fast & Furious Deep Neural Network for Facial Expression Recognition
We conclude our paper with an analysis of how FaceChannel learns and adapt the learned facial features towards the different datasets.
Facial Expression Recognition
Facial Expression Recognition (FER)
Action similarity judgment based on kinematic primitives
The results show that both the model and human performance are highly accurate in an action similarity task based on kinematic-level features, which can provide an essential basis for classifying human actions.
Moody Learners -- Explaining Competitive Behaviour of Reinforcement Learning Agents
Designing the decision-making processes of artificial agents that are involved in competitive interactions is a challenging task.
The FaceChannel: A Light-weight Deep Neural Network for Facial Expression Recognition
Current state-of-the-art models for automatic FER are based on very deep neural networks that are difficult to train.
Facial Expression Recognition
Facial Expression Recognition (FER)
Learning from Learners: Adapting Reinforcement Learning Agents to be Competitive in a Card Game
Learning how to adapt to complex and dynamic environments is one of the most important factors that contribute to our intelligence.
The Chef's Hat Simulation Environment for Reinforcement-Learning-Based Agents
To achieve social interactions within Human-Robot Interaction (HRI) environments is a very challenging task.
It's Food Fight! Introducing the Chef's Hat Card Game for Affective-Aware HRI
Emotional expressions and their changes during an interaction affect heavily how we perceive and behave towards other persons.
Human-Computer Interaction
Towards Learning How to Properly Play UNO with the iCub Robot
While interacting with another person, our reactions and behavior are much affected by the emotional changes within the temporal context of the interaction.
The role of ego vision in view-invariant action recognition
Analysis and interpretation of egocentric video data is becoming more and more important with the increasing availability and use of wearable cameras.
