Advanced Robotics
Volume 37, 2023 - Issue 13: Special Issue on World Models and Predictive Coding in Robotics (Part I). Guest editors: Tadahiro Taniguchi, Dimitri Ognibene, Lorenzo Jamone, Emre Ugur, Pablo Lanillos, Alejandra Ciria, Masahiro Suzuki, Shingo Murata, Yoshihiro Nakata, and Tomoaki Nakamura
Open access
1,397
Views
2
CrossRef citations to date
0
Altmetric
Full Papers
Active exploration based on information gain by particle filter for efficient spatial concept formation
Akira Taniguchia College of Information Science and Engineering, Ritsumeikan University, Shiga, JapanCorrespondence[email protected]
https://orcid.org/0000-0003-0678-1103View further author information
Yoshiki Tabuchib Graduate School of Information Science and Engineering, Ritsumeikan University, Shiga, JapanView further author information
, Tomochika Ishikawaa College of Information Science and Engineering, Ritsumeikan University, Shiga, JapanView further author information
, Lotfi El Hafic Research Organization of Science and Technology, Ritsumeikan University, Shiga, Japan
https://orcid.org/0000-0001-9795-6153View further author information
Yoshinobu Hagiwarac Research Organization of Science and Technology, Ritsumeikan University, Shiga, Japan
https://orcid.org/0009-0006-1208-3159View further author information
Tadahiro Taniguchia College of Information Science and Engineering, Ritsumeikan University, Shiga, Japan
https://orcid.org/0000-0002-5682-2076View further author information
Pages 840-870
|
Received 19 Nov 2022, Accepted 01 Jun 2023, Published online: 21 Jun 2023
Reprints and Permissions
Permission is granted subject to the terms of the License under which the work was published. Permission will be required if your reuse is not covered by the terms of the License.
To request a reprint or commercial or derivative permissions for this article, please click on the relevant link below.
For more information please visit our Permissions help page.
Related research
People also read lists articles that other readers of this article have read.
Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.
Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.