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Exercise with Social Robots: Companion or Coach?
In this paper, we investigate the roles that social robots can take in p...
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Continual Learning from Synthetic Data for a Humanoid Exercise Robot
In order to detect and correct physical exercises, a Grow-When-Required ...
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Hierarchical principles of embodied reinforcement learning: A review
Cognitive Psychology and related disciplines have identified several cri...
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Enhancing a Neurocognitive Shared Visuomotor Model for Object Identification, Localization, and Grasping With Learning From Auxiliary Tasks
We present a follow-up study on our unified visuomotor neural model for ...
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Crossmodal Language Grounding in an Embodied Neurocognitive Model
Human infants are able to acquire natural language seemingly easily at a...
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Explainable Goal-Driven Agents and Robots – A Comprehensive Review and New Framework
Recent applications of autonomous agents and robots, for example, self-d...
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Improving Robot Dual-System Motor Learning with Intrinsically Motivated Meta-Control and Latent-Space Experience Imagination
Combining model-based and model-free learning systems has been shown to ...
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Solving Visual Object Ambiguities when Pointing: An Unsupervised Learning Approach
Whenever we are addressing a specific object or refer to a certain spati...
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Efficient Intrinsically Motivated Robotic Grasping with Learning-Adaptive Imagination in Latent Space
Combining model-based and model-free deep reinforcement learning has sho...
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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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Curious Meta-Controller: Adaptive Alternation between Model-Based and Model-Free Control in Deep Reinforcement Learning
Recent success in deep reinforcement learning for continuous control has...
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Deep Intrinsically Motivated Continuous Actor-Critic for Efficient Robotic Visuomotor Skill Learning
In this paper, we present a new intrinsically motivated actor-critic alg...
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Deep Neural Object Analysis by Interactive Auditory Exploration with a Humanoid Robot
We present a novel approach for interactive auditory object analysis wit...
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