The cooperation between humans and robots is becoming increasingly important in our
society. Consequently, there is a growing interest in the development of models that can …

Wilful movement requires neural control. Commonly, neural computations are thought to
generate motor commands that bring the musculoskeletal system—that is, the plant—from its …

As autonomous robots continue to be deployed near people, robots need to be able to
explain their actions. In this article, we focus on organizing and representing complex tasks …

Abstract The Parallel Episodic Processing (PEP) model is a neural network for simulating
human performance in speeded response time tasks. It learns with an exemplar-based …

People's acceptance and trust in robots are a direct consequence of people's ability to infer
and predict the robot's behavior. However, there is no clear consensus on how the legibility …

Embodied conversational agents still do not achieve the fluidity and smoothness of natural
conversational interaction. One main reason is that current system often respond with big …

According to ideomotor theory, actions are represented, controlled, and retrieved in terms of
the perceptual effects that these actions experientially engender. When agents perform a …

Action selection, planning and execution are continuous processes that evolve over time,
responding to perceptual feedback as well as evolving top-down constraints. Existing …

We study how a robot can link concepts represented by adjectives and nouns in language
with its own sensorimotor interactions. Specifically, an iCub humanoid robot interacts with a …

Increasing evidence suggests that perception and action planning do not represent
separable stages of a unidirectional processing sequence, but rather emerging properties of …