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Incorporating Rivalry in Reinforcement Learning for a Competitive Game
Recent advances in reinforcement learning with social agents have allowe...
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Affect-Driven Modelling of Robot Personality for Collaborative Human-Robot Interactions
Collaborative interactions require social robots to adapt to the dynamic...
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The FaceChannelS: Strike of the Sequences for the AffWild 2 Challenge
Predicting affective information from human faces became a popular task ...
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The FaceChannel: A Fast Furious Deep Neural Network for Facial Expression Recognition
Current state-of-the-art models for automatic Facial Expression Recognit...
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Analysis of Social Robotic Navigation approaches: CNN Encoder and Incremental Learning as an alternative to Deep Reinforcement Learning
Dealing with social tasks in robotic scenarios is difficult, as having h...
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Performance Improvement of Path Planning algorithms with Deep Learning Encoder Model
Currently, path planning algorithms are used in many daily tasks. They a...
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Moody Learners – Explaining Competitive Behaviour of Reinforcement Learning Agents
Designing the decision-making processes of artificial agents that are in...
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Facial Expression Editing with Continuous Emotion Labels
Recently deep generative models have achieved impressive results in the ...
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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...
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CNN Encoder to Reduce the Dimensionality of Data Image for Motion Planning
Many real-world applications need path planning algorithms to solve task...
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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 ...
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iCub: Learning Emotion Expressions using Human Reward
The purpose of the present study is to learn emotion expression represen...
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The Chef's Hat Simulation Environment for Reinforcement-Learning-Based Agents
To achieve social interactions within Human-Robot Interaction (HRI) envi...
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It's Food Fight! Introducing the Chef's Hat Card Game for Affective-Aware HRI
Emotional expressions and their changes during an interaction affect hea...
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What can computational models learn from human selective attention? A review from an audiovisual crossmodal perspective
Selective attention plays an essential role in information acquisition a...
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The OMG-Empathy Dataset: Evaluating the Impact of Affective Behavior in Storytelling
Processing human affective behavior is important for developing intellig...
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Towards Learning How to Properly Play UNO with the iCub Robot
While interacting with another person, our reactions and behavior are mu...
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A Personalized Affective Memory Neural Model for Improving Emotion Recognition
Recent models of emotion recognition strongly rely on supervised deep le...
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Assessing the Contribution of Semantic Congruency to Multisensory Integration and Conflict Resolution
The efficient integration of multisensory observations is a key property...
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A Deep Neural Model Of Emotion Appraisal
Emotional concepts play a huge role in our daily life since they take pa...
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Towards Modeling the Interaction of Spatial-Associative Neural Network Representations for Multisensory Perception
Our daily perceptual experience is driven by different neural mechanisms...
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An Affective Robot Companion for Assisting the Elderly in a Cognitive Game Scenario
Being able to recognize emotions in human users is considered a highly d...
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The OMG-Emotion Behavior Dataset
This paper is the basis paper for the accepted IJCNN challenge One-Minut...
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A Neurorobotic Experiment for Crossmodal Conflict Resolution in Complex Environments
Crossmodal conflict resolution is a crucial component of robot sensorimo...
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Expectation Learning for Adaptive Crossmodal Stimuli Association
The human brain is able to learn, generalize, and predict crossmodal sti...
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