Search Results for author: Tomoaki Nakamura

Found 10 papers, 1 papers with code

Unsupervised Work Behavior Pattern Extraction Based on Hierarchical Probabilistic Model

no code implementations16 May 2024 Issei Saito, Tomoaki Nakamura, Toshiyuki Hatta, Wataru Fujita, Shintaro Watanabe, Shotaro Miwa

The NLD of motion patterns captured by GP-HSMM and HSMM layers in our proposed method was 0. 50 and 0. 33, respectively, which are the smallest compared to that of the baseline methods.

World Models and Predictive Coding for Cognitive and Developmental Robotics: Frontiers and Challenges

no code implementations14 Jan 2023 Tadahiro Taniguchi, Shingo Murata, Masahiro Suzuki, Dimitri Ognibene, Pablo Lanillos, Emre Ugur, Lorenzo Jamone, Tomoaki Nakamura, Alejandra Ciria, Bruno Lara, Giovanni Pezzulo

Therefore, in this paper, we clarify the definitions, relationships, and status of current research on these topics, as well as missing pieces of world models and predictive coding in conjunction with crucially related concepts such as the free-energy principle and active inference in the context of cognitive and developmental robotics.

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.

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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