Prominent accounts of sentient behavior depict brains as generative models of organismic
interaction with the world, evincing intriguing similarities with current advances in generative …

Creating autonomous robots that can actively explore the environment, acquire knowledge
and learn skills continuously is the ultimate achievement envisioned in cognitive and …

Imitation learning is a popular approach for teaching motor skills to robots. However, most
approaches focus on extracting policy parameters from execution traces alone (ie, motion …

We aim to endow a robot with the ability to learn manipulation concepts that link natural
language instructions to motor skills. Our goal is to learn a single multi-task policy that takes …

A comprehensive overview of an interdisciplinary approach to robotics that takes direct
inspiration from the developmental and learning phenomena observed in children's …

Linking human motion and natural language is of great interest for the generation of
semantic representations of human activities as well as for the generation of robot activities …

It is generally thought that skilled behavior in human beings results from a functional
hierarchy of the motor control system, within which reusable motor primitives are flexibly …

In Exploring Robotic Minds: Actions, Symbols, and Consciousness as Self-Organizing
Dynamic Phenomena, Jun Tani sets out to answer an essential and tantalizing question …

Humans can learn a language through physical interaction with their environment and
semiotic communication with other people. It is very important to obtain a computational …

Studies of brain connectivity have focused on two modes of networks: structural networks
describing neuroanatomy and the intrinsic and evoked dependencies of functional networks …