155 citations · 373 across the 12 of their papers we have counts for
12 papers
Estimation of User's World Model Using Graph2vec
Tatsuya Sakai, Takayuki Nagai
To obtain advanced interaction between autonomous robots and users, robots should be able to distinguish their state space representations (i.e., world models). Herein, a novel met…
Overview of Dialogue Robot Competition 2022
Takashi Minato, Ryuichiro Higashinaka, Kurima Sakai +3
Although many competitions have been held on dialogue systems in the past, no competition has been organized specifically for dialogue with humanoid robots. As the first such attem…
A Framework of Explanation Generation toward Reliable Autonomous Robots
Tatsuya Sakai, Kazuki Miyazawa, Takato Horii +1
To realize autonomous collaborative robots, it is important to increase the trust that users have in them. Toward this goal, this paper proposes an algorithm which endows an autono…
Explainable Autonomous Robots: A Survey and Perspective
Tatsuya Sakai, Takayuki Nagai
Advanced communication protocols are critical to enable the coexistence of autonomous robots with humans. Thus, the development of explanatory capabilities is an urgent first step…
Survey and Perspective on Social Emotions in Robotics
Chie Hieida, Takayuki Nagai
This study reviews research on social emotions in robotics. In robotics, the study of emotions has been pursued for a long time, including the study of their recognition, expressio…
A Whole Brain Probabilistic Generative Model: Toward Realizing Cognitive Architectures for Developmental Robots
Tadahiro Taniguchi, Hiroshi Yamakawa, Takayuki Nagai +5
Building a humanlike integrative artificial cognitive system, that is, an artificial general intelligence (AGI), is the holy grail of the artificial intelligence (AI) field. Furthe…
lamBERT: Language and Action Learning Using Multimodal BERT
Kazuki Miyazawa, Tatsuya Aoki, Takato Horii +1
Recently, the bidirectional encoder representations from transformers (BERT) model has attracted much attention in the field of natural language processing, owing to its high perfo…
Neuro-SERKET: Development of Integrative Cognitive System through the Composition of Deep Probabilistic Generative Models
Tadahiro Taniguchi, Tomoaki Nakamura, Masahiro Suzuki +5
This paper describes a framework for the development of an integrative cognitive system based on probabilistic generative models (PGMs) called Neuro-SERKET. Neuro-SERKET is an exte…
Deep Emotion: A Computational Model of Emotion Using Deep Neural Networks
Chie Hieida, Takato Horii, Takayuki Nagai
Emotions are very important for human intelligence. For example, emotions are closely related to the appraisal of the internal bodily state and external stimuli. This helps us to r…
Symbol Emergence in Cognitive Developmental Systems: a Survey
Tadahiro Taniguchi, Emre Ugur, Matej Hoffmann +8
Humans use signs, e.g., sentences in a spoken language, for communication and thought. Hence, symbol systems like language are crucial for our communication with other agents and a…
SERKET: An Architecture for Connecting Stochastic Models to Realize a Large-Scale Cognitive Model
Tomoaki Nakamura, Takayuki Nagai, Tadahiro Taniguchi
To realize human-like robot intelligence, a large-scale cognitive architecture is required for robots to understand the environment through a variety of sensors with which they are…
Symbol Emergence in Robotics: A Survey
Tadahiro Taniguchi, Takayuki Nagai, Tomoaki Nakamura +3
Humans can learn the use of language through physical interaction with their environment and semiotic communication with other people. It is very important to obtain a computationa…