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A call for embodied AI
We propose Embodied AI as the next fundamental step in the pursuit of Artificial General Intelligence, juxtaposing it against current AI advancements, particularly Large Language Models.
Guided Safe Shooting: model based reinforcement learning with safety constraints
In the last decade, reinforcement learning successfully solved complex control tasks and decision-making problems, like the Go board game.
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.
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)
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