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Frontiers in Robotics and AI
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August 29, 2022
Automatic selection of coordinate systems for learning relative and absolute spatial concepts
Rikunari Sagara, Ryo Taguchi, Akira Taniguchi, et al.
Frontiers in Robotics and AI
|
January 27, 2021
Symbol Emergence as an Interpersonal Multimodal Categorization
Yoshinobu Hagiwara, Hiroyoshi Kobayashi, Akira Taniguchi, et al.
Frontiers in Artificial Intelligence
|
December 20, 2023
Metropolis-Hastings algorithm in joint-attention naming game: experimental semiotics study
Ryota Okumura, Tadahiro Taniguchi, Yoshinobu Hagiwara, et al.
Sensors (Basel, Switzerland)
|
February 22, 2018
Defect-Repairable Latent Feature Extraction of Driving Behavior via a Deep Sparse Autoencoder
HaiLong Liu, Tadahiro Taniguchi, Kazuhito Takenaka, et al.
Frontiers in Robotics and AI
|
January 27, 2021
Semantic Mapping Based on Spatial Concepts for Grounding Words Related to Places in Daily Environments
Yuki Katsumata, Akira Taniguchi, Yoshinobu Hagiwara, et al.
Frontiers in Robotics and AI
|
January 27, 2021
Robust Understanding of Robot-Directed Speech Commands Using Sequence to Sequence With Noise Injection
Yuuki Tada, Yoshinobu Hagiwara, Hiroki Tanaka, et al.
Soft Robotics
|
May 21, 2019
Exploring Behaviors of Caterpillar-Like Soft Robots with a Central Pattern Generator-Based Controller and Reinforcement Learning
Matthew Ishige, Takuya Umedachi, Tadahiro Taniguchi, et al.
Frontiers in Artificial Intelligence
|
November 3, 2023
Recursive Metropolis-Hastings naming game: symbol emergence in a multi-agent system based on probabilistic generative models
Jun Inukai, Tadahiro Taniguchi, Akira Taniguchi, et al.
Frontiers in Robotics and AI
|
February 15, 2024
Emergent communication of multimodal deep generative models based on Metropolis-Hastings naming game
Nguyen Le Hoang, Tadahiro Taniguchi, Yoshinobu Hagiwara, et al.
Frontiers in Neurorobotics
|
November 8, 2019
Editorial: Machine Learning Methods for High-Level Cognitive Capabilities in Robotics
Tadahiro Taniguchi, Emre Ugur, Tetsuya Ogata, et al.
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Search research articles
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Showing results (11-20 of 27) with videos related to
Sort By:
Page
of 3
Frontiers in Robotics and AI
|
August 29, 2022
Automatic selection of coordinate systems for learning relative and absolute spatial concepts
Rikunari Sagara, Ryo Taguchi, Akira Taniguchi, et al.
Frontiers in Robotics and AI
|
January 27, 2021
Symbol Emergence as an Interpersonal Multimodal Categorization
Yoshinobu Hagiwara, Hiroyoshi Kobayashi, Akira Taniguchi, et al.
Frontiers in Artificial Intelligence
|
December 20, 2023
Metropolis-Hastings algorithm in joint-attention naming game: experimental semiotics study
Ryota Okumura, Tadahiro Taniguchi, Yoshinobu Hagiwara, et al.
Sensors (Basel, Switzerland)
|
February 22, 2018
Defect-Repairable Latent Feature Extraction of Driving Behavior via a Deep Sparse Autoencoder
HaiLong Liu, Tadahiro Taniguchi, Kazuhito Takenaka, et al.
Frontiers in Robotics and AI
|
January 27, 2021
Semantic Mapping Based on Spatial Concepts for Grounding Words Related to Places in Daily Environments
Yuki Katsumata, Akira Taniguchi, Yoshinobu Hagiwara, et al.
Frontiers in Robotics and AI
|
January 27, 2021
Robust Understanding of Robot-Directed Speech Commands Using Sequence to Sequence With Noise Injection
Yuuki Tada, Yoshinobu Hagiwara, Hiroki Tanaka, et al.
Soft Robotics
|
May 21, 2019
Exploring Behaviors of Caterpillar-Like Soft Robots with a Central Pattern Generator-Based Controller and Reinforcement Learning
Matthew Ishige, Takuya Umedachi, Tadahiro Taniguchi, et al.
Frontiers in Artificial Intelligence
|
November 3, 2023
Recursive Metropolis-Hastings naming game: symbol emergence in a multi-agent system based on probabilistic generative models
Jun Inukai, Tadahiro Taniguchi, Akira Taniguchi, et al.
Frontiers in Robotics and AI
|
February 15, 2024
Emergent communication of multimodal deep generative models based on Metropolis-Hastings naming game
Nguyen Le Hoang, Tadahiro Taniguchi, Yoshinobu Hagiwara, et al.
Frontiers in Neurorobotics
|
November 8, 2019
Editorial: Machine Learning Methods for High-Level Cognitive Capabilities in Robotics
Tadahiro Taniguchi, Emre Ugur, Tetsuya Ogata, et al.
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of 3