Understanding information processing in the brain—and creating general-purpose artificial
intelligence—are long-standing aspirations of scientists and engineers worldwide. The …

Social demand for robots to be our partners in daily life has been rapidly increasing.
Cognitive robotics should play a major role in making robots our partners. To discuss the …

Building a human-like integrative artificial cognitive system, that is, an artificial general
intelligence (AGI), is the holy grail of the artificial intelligence (AI) field. Furthermore, a …

In building artificial intelligence (AI) agents, referring to how brains function in real
environments can accelerate development by reducing the design space. In this study, we …

We present a computational model for a symbol emergence system that enables the
emergence of lexical knowledge with combinatoriality among agents through a Metropolis …

Autonomous robots need to learn the categories of various places by exploring their
environments and interacting with users. However, preparing training datasets with linguistic …

Humans form concepts from multimodal information obtained from multiple sensory organs
and understand the environment and language by predicting unobserved information …

Using the spatial structure of various indoor environments as prior knowledge, the robot
would construct the map more efficiently. Autonomous mobile robots generally apply …

This paper proposes methods for unsupervised lexical acquisition for relative spatial
concepts using spoken user utterances. A robot with a flexible spoken dialog system must …

This paper proposes a hierarchical Bayesian model based on spatial concepts that enables
a robot to transfer the knowledge of places from experienced environments to a new …