Advanced Robotics, Volume 37, Issue 19, October 2023 (Special) is now available online on Taylor & Francis Online

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Advanced Robotics, Volume 37, Issue 19, October 2023

This new issue contains the following articles:

* Preface

Special issue on world models and predictive coding in robotics (part II)

Tadahiro Taniguchi, Dimitri Ognibene, Lorenzo Jamone, Emre Ugur, Pablo Lanillos, Alejandra Ciria, Masahiro Suzuki, Shingo Murata, Yoshihiro Nakata & Tomoaki Nakamura
Pages: 1211-1211 | DOI: 10.1080/01691864.2023.2258630

* Full Papers

Multi-view dreaming: multi-view world model with contrastive learning

Akira Kinose, Ryo Okumura, Masashi Okada & Tadahiro Taniguchi
Pages: 1212-1220 | DOI: 10.1080/01691864.2023.2264363


Pixyz: a Python library for developing deep generative models

Masahiro Suzuki, Takaaki Kaneko & Yutaka Matsuo
Pages: 1221-1236 | DOI: 10.1080/01691864.2023.2244568


Dream to posture: visual posturing of a tendon-driven hand using world model and muscle synergies

Matthew Ishige, Tadahiro Taniguchi & Yoshihiro Kawahara
Pages: 1237-1252 | DOI: 10.1080/01691864.2023.2234428


Unsupervised phoneme and word acquisition from continuous speech based on a hierarchical probabilistic generative model

Masatoshi Nagano & Tomoaki Nakamura
Pages: 1253-1265 | DOI: 10.1080/01691864.2023.2252048


Emergent communication through Metropolis-Hastings naming game with deep generative models

Tadahiro Taniguchi, Yuto Yoshida, Yuta Matsui, Nguyen Le Hoang, Akira Taniguchi & Yoshinobu Hagiwara
Pages: 1266-1282 | DOI: 10.1080/01691864.2023.2260856