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 …

From an early stage in their development, human infants show a profound drive to explore
the objects around them. Research in psychology has shown that this exploration is …

We present an active acoustic sensor that turns soft pneumatic actuators into contact
sensors. The whole surface of the actuator becomes a sensor, rendering the question of …

This paper proposes a framework for learning human-provided category labels that describe
individual objects, pairwise object relationships, as well as groups of objects. The framework …

Humans develop their concept of an object by classifying it into a category, and acquire
language by interacting with others at the same time. Thus, the meaning of a word can be …

In this paper, we propose an online algorithm for multimodal categorization based on the
autonomously acquired multimodal information and partial words given by human users. For …

Humans form concept of objects by classifying them into categories, and acquire language
by simultaneously interacting with others. Thus, the meaning of a word can be learned by …

Recent studies have shown that robots can form concepts and understand the meanings of
words through inference. The key idea underlying these studies is the “multimodal …

In this paper, we propose a robot that acquires multimodal information, ie visual, auditory,
and haptic information, fully autonomously using its embodiment. We also propose batch …

Statistical machine learning algorithms usually assume the availability of data of
considerable size to train the models. However, they would fail in addressing domains …