Search Results for author: Takayuki Nagai

Found 13 papers, 1 papers with code

Collection and Analysis of Travel Agency Task Dialogues with Age-Diverse Speakers

no code implementations LREC 2022 Michimasa Inaba, Yuya Chiba, Ryuichiro Higashinaka, Kazunori Komatani, Yusuke Miyao, Takayuki Nagai

This paper provides details of the dialogue task, the collection procedure and annotations, and the analysis on the characteristics of the dialogues and facial expressions focusing on the age of the speakers.

Survey and Perspective on Social Emotions in Robotics

no code implementations20 May 2021 Chie Hieida, Takayuki Nagai

In this review paper, we summarize the findings on social emotions in psychology and neuroscience, along with a survey of the studies on social emotions in robotics that have been conducted to date.

Explainable Autonomous Robots: A Survey and Perspective

no code implementations6 May 2021 Tatsuya Sakai, Takayuki Nagai

Advanced communication protocols are critical to enable the coexistence of autonomous robots with humans.

BIG-bench Machine Learning

A Framework of Explanation Generation toward Reliable Autonomous Robots

no code implementations6 May 2021 Tatsuya Sakai, Kazuki Miyazawa, Takato Horii, Takayuki Nagai

It was inferred from the result of a simulation experiment that the explanation generated using the proposed method was composed of the minimum elements important for understanding the transition from the current state to the target state.

Decision Making Explanation Generation

A Whole Brain Probabilistic Generative Model: Toward Realizing Cognitive Architectures for Developmental Robots

no code implementations15 Mar 2021 Tadahiro Taniguchi, Hiroshi Yamakawa, Takayuki Nagai, Kenji Doya, Masamichi Sakagami, Masahiro Suzuki, Tomoaki Nakamura, Akira Taniguchi

This approach is based on two ideas: (1) brain-inspired AI, learning human brain architecture to build human-level intelligence, and (2) a probabilistic generative model(PGM)-based cognitive system to develop a cognitive system for developmental robots by integrating PGMs.

lamBERT: Language and Action Learning Using Multimodal BERT

no code implementations15 Apr 2020 Kazuki Miyazawa, Tatsuya Aoki, Takato Horii, Takayuki Nagai

Recently, the bidirectional encoder representations from transformers (BERT) model has attracted much attention in the field of natural language processing, owing to its high performance in language understanding-related tasks.

Deep Emotion: A Computational Model of Emotion Using Deep Neural Networks

no code implementations25 Aug 2018 Chie Hieida, Takato Horii, Takayuki Nagai

In this study, a model of emotions is proposed to elucidate the mechanism of emotions through the computational model.

Decision Making

Symbol Emergence in Cognitive Developmental Systems: a Survey

no code implementations26 Jan 2018 Tadahiro Taniguchi, Emre Ugur, Matej Hoffmann, Lorenzo Jamone, Takayuki Nagai, Benjamin Rosman, Toshihiko Matsuka, Naoto Iwahashi, Erhan Oztop, Justus Piater, Florentin Wörgötter

However, the symbol grounding problem was originally posed to connect symbolic AI and sensorimotor information and did not consider many interdisciplinary phenomena in human communication and dynamic symbol systems in our society, which semiotics considered.

SERKET: An Architecture for Connecting Stochastic Models to Realize a Large-Scale Cognitive Model

1 code implementation4 Dec 2017 Tomoaki Nakamura, Takayuki Nagai, Tadahiro Taniguchi

Experimental results demonstrated that the model can be constructed by connecting modules, the parameters can be optimized as a whole, and they are comparable with the original models that we have proposed.

Symbol Emergence in Robotics: A Survey

no code implementations29 Sep 2015 Tadahiro Taniguchi, Takayuki Nagai, Tomoaki Nakamura, Naoto Iwahashi, Tetsuya OGATA, Hideki Asoh

Humans can learn the use of language through physical interaction with their environment and semiotic communication with other people.

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