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Spatial Concept-Based Navigation with Human Speech Instructions via Probabilistic Inference on Bayesian Generative Model
Robots are required to not only learn spatial concepts autonomously but ...
02/18/2020 ∙ by Akira Taniguchi, et al. ∙
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Autonomous Planning Based on Spatial Concepts to Tidy Up Home Environments with Service Robots
Tidy-up tasks by service robots in home environments are challenging in ...
02/10/2020 ∙ by Akira Taniguchi, et al. ∙
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Neuro-SERKET: Development of Integrative Cognitive System through the Composition of Deep Probabilistic Generative Models
This paper describes a framework for the development of an integrative c...
10/20/2019 ∙ by Tadahiro Taniguchi, et al. ∙
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Symbol Emergence as an Interpersonal Multimodal Categorization
This study focuses on category formation for individual agents and the d...
05/31/2019 ∙ by Yoshinobu Hagiwara, et al. ∙
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SpCoSLAM 2.0: An Improved and Scalable Online Learning of Spatial Concepts and Language Models with Mapping
In this paper, we propose a novel online learning algorithm, SpCoSLAM 2....
03/09/2018 ∙ by Akira Taniguchi, et al. ∙
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Online Spatial Concept and Lexical Acquisition with Simultaneous Localization and Mapping
In this paper, we propose an online learning algorithm based on a Rao-Bl...
04/15/2017 ∙ by Akira Taniguchi, et al. ∙
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Spatial Concept Acquisition for a Mobile Robot that Integrates Self-Localization and Unsupervised Word Discovery from Spoken Sentences
In this paper, we propose a novel unsupervised learning method for the l...
02/03/2016 ∙ by Akira Taniguchi, et al. ∙
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