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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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Intelligent behavior depends on the ecological niche: Scaling up AI to human-like intelligence in socio-cultural environments
This paper outlines a perspective on the future of AI, discussing direct...
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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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Sensorimotor representation learning for an "active self" in robots: A model survey
Safe human-robot interactions require robots to be able to learn how to ...
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Robotic self-representation improves manipulation skills and transfer learning
Cognitive science suggests that the self-representation is critical for ...
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Reinforcement Learning with Time-dependent Goals for Robotic Musicians
Reinforcement learning is a promising method to accomplish robotic contr...
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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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Curious Hierarchical Actor-Critic Reinforcement Learning
Hierarchical abstraction and curiosity-driven exploration are two common...
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From semantics to execution: Integrating action planning with reinforcement learning for robotic tool use
Reinforcement learning is an appropriate and successful method to robust...
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Curriculum goal masking for continuous deep reinforcement learning
Deep reinforcement learning has recently gained a focus on problems wher...
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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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Grounding Dynamic Spatial Relations for Embodied (Robot) Interaction
This paper presents a computational model of the processing of dynamic s...
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Exploiting Deep Semantics and Compositionality of Natural Language for Human-Robot-Interaction
We develop a natural language interface for human robot interaction that...
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Tractable Epistemic Reasoning with Functional Fluents, Static Causal Laws and Postdiction
We present an epistemic action theory for tractable epistemic reasoning ...
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Narrative based Postdictive Reasoning for Cognitive Robotics
Making sense of incomplete and conflicting narrative knowledge in the pr...
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h-approximation: History-Based Approximation of Possible World Semantics as ASP
We propose an approximation of the Possible Worlds Semantics (PWS) for a...
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