Search Results for author: Yoshinobu Hagiwara

Found 11 papers, 3 papers with code

Symbol Emergence as Inter-personal Categorization with Head-to-head Latent Word

no code implementations24 May 2022 Kazuma Furukawa, Akira Taniguchi, Yoshinobu Hagiwara, Tadahiro Taniguchi

On the basis of the H2H-type Inter-MDM, we propose a naming game in the same way as the conventional Inter-MDM.

Emergent Communication through Metropolis-Hastings Naming Game with Deep Generative Models

no code implementations24 May 2022 Tadahiro Taniguchi, Yuto Yoshida, Akira Taniguchi, Yoshinobu Hagiwara

The MH naming game is a sort of MH algorithm for an integrative probabilistic generative model that combines two agents playing the naming game.

Bayesian Inference Representation Learning

Multiagent Multimodal Categorization for Symbol Emergence: Emergent Communication via Interpersonal Cross-modal Inference

no code implementations15 Sep 2021 Yoshinobu Hagiwara, Kazuma Furukawa, Akira Taniguchi, Tadahiro Taniguchi

(2) Function to improve the categorization accuracy in an agent via semiotic communication with another agent, even when some sensory modalities of each agent are missing.

Hierarchical Bayesian Model for the Transfer of Knowledge on Spatial Concepts based on Multimodal Information

no code implementations11 Mar 2021 Yoshinobu Hagiwara, Keishiro Taguchi, Satoshi Ishibushi, Akira Taniguchi, Tadahiro Taniguchi

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 environment.

Spatial Concept-Based Navigation with Human Speech Instructions via Probabilistic Inference on Bayesian Generative Model

1 code implementation18 Feb 2020 Akira Taniguchi, Yoshinobu Hagiwara, Tadahiro Taniguchi, Tetsunari Inamura

The aim of this study is to enable a mobile robot to perform navigational tasks with human speech instructions, such as `Go to the kitchen', via probabilistic inference on a Bayesian generative model using spatial concepts.

Decision Making

Autonomous Planning Based on Spatial Concepts to Tidy Up Home Environments with Service Robots

no code implementations10 Feb 2020 Akira Taniguchi, Shota Isobe, Lotfi El Hafi, Yoshinobu Hagiwara, Tadahiro Taniguchi

We evaluate the effectiveness of the proposed method by an experimental simulation that reproduces the conditions of the Tidy Up Here task of the World Robot Summit 2018 international robotics competition.

Symbol Emergence as an Interpersonal Multimodal Categorization

no code implementations31 May 2019 Yoshinobu Hagiwara, Hiroyoshi Kobayashi, Akira Taniguchi, Tadahiro Taniguchi

In this paper, we describe a new computational model that represents symbol emergence in a two-agent system based on a probabilistic generative model for multimodal categorization.

Improved and Scalable Online Learning of Spatial Concepts and Language Models with Mapping

3 code implementations9 Mar 2018 Akira Taniguchi, Yoshinobu Hagiwara, Tadahiro Taniguchi, Tetsunari Inamura

We propose a novel online learning algorithm, called SpCoSLAM 2. 0, for spatial concepts and lexical acquisition with high accuracy and scalability.

online learning

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