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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 ...
03/16/2021 ∙ by Jonas Gonzalez-Billandon, et al. ∙
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Careful with That! Observation of Human Movements to Estimate Objects Properties
Humans are very effective at interpreting subtle properties of the partn...
03/02/2021 ∙ by Linda Lastrico, et al. ∙
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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 ha...
11/12/2020 ∙ by Jonas Gonzalez-Billandon, et al. ∙
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Incorporating Rivalry in Reinforcement Learning for a Competitive Game
Recent advances in reinforcement learning with social agents have allowe...
11/02/2020 ∙ by Pablo Barros, et al. ∙
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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 ...
10/04/2020 ∙ by Pablo Barros, et al. ∙
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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...
09/15/2020 ∙ by Pablo Barros, et al. ∙
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Action similarity judgment based on kinematic primitives
Understanding which features humans rely on – in visually recognizing ac...
08/30/2020 ∙ by Vipul Nair, et al. ∙
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Moody Learners – Explaining Competitive Behaviour of Reinforcement Learning Agents
Designing the decision-making processes of artificial agents that are in...
07/30/2020 ∙ by Pablo Barros, et al. ∙
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A Humanoid Social Agent Embodying Physical Assistance Enhances Motor Training Experience
Skilled motor behavior is critical in many human daily life activities a...
07/12/2020 ∙ by Giulia Belgiovine, et al. ∙
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Towards Transparency of TD-RL Robotic Systems with a Human Teacher
The high request for autonomous and flexible HRI implies the necessity o...
05/12/2020 ∙ by Marco Matarese, et al. ∙
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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...
04/17/2020 ∙ by Pablo Barros, et al. ∙
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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 ...
04/08/2020 ∙ by Pablo Barros, et al. ∙
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A Socially Adaptable Framework for Human-Robot Interaction
In our everyday lives we are accustomed to partake in complex, personali...
03/25/2020 ∙ by Ana Tanevska, et al. ∙
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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...
03/12/2020 ∙ by Pablo Barros, et al. ∙
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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...
02/25/2020 ∙ by Pablo Barros, et al. ∙
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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...
08/02/2019 ∙ by Pablo Barros, et al. ∙
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The role of ego vision in view-invariant action recognition
Analysis and interpretation of egocentric video data is becoming more an...
06/10/2019 ∙ by Gaurvi Goyal, et al. ∙
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