Zobrazeno 1 - 10
of 65
pro vyhledávání: '"Yoshinobu HAGIWARA"'
Publikováno v:
SICE Journal of Control, Measurement, and System Integration, Vol 16, Iss 1, Pp 400-422 (2023)
Our study introduces a novel approach that combined probabilistic logic and multimodal spatial concepts to enable a robot to efficiently acquire place–object relationships in a new home environment with few learning iterations. By leveraging probab
Externí odkaz:
https://doaj.org/article/3f7b6e431c8042c9a84bada8c7a20967
Emergent communication of multimodal deep generative models based on Metropolis-Hastings naming game
Publikováno v:
Frontiers in Robotics and AI, Vol 10 (2024)
Deep generative models (DGM) are increasingly employed in emergent communication systems. However, their application in multimodal data contexts is limited. This study proposes a novel model that combines multimodal DGM with the Metropolis-Hastings (
Externí odkaz:
https://doaj.org/article/0e44a7ac90af40ea9c8a13c53f2f5a32
Publikováno v:
Frontiers in Artificial Intelligence, Vol 6 (2023)
We explore the emergence of symbols during interactions between individuals through an experimental semiotic study. Previous studies have investigated how humans organize symbol systems through communication using artificially designed subjective exp
Externí odkaz:
https://doaj.org/article/047d92208ab94e9090216f148f597f0c
Publikováno v:
Frontiers in Artificial Intelligence, Vol 6 (2023)
In the studies on symbol emergence and emergent communication in a population of agents, a computational model was employed in which agents participate in various language games. Among these, the Metropolis-Hastings naming game (MHNG) possesses a not
Externí odkaz:
https://doaj.org/article/0430c57847bc437ca953c3263400f269
Publikováno v:
Frontiers in Robotics and AI, Vol 6 (2020)
This paper describes a new method that enables a service robot to understand spoken commands in a robust manner using off-the-shelf automatic speech recognition (ASR) systems and an encoder-decoder neural network with noise injection. In numerous ins
Externí odkaz:
https://doaj.org/article/6c9862529d6847e3bdd79ff3b27b3c1f
Publikováno v:
Frontiers in Robotics and AI, Vol 6 (2019)
This study focuses on category formation for individual agents and the dynamics of symbol emergence in a multi-agent system through semiotic communication. In this study, the semiotic communication refers to exchanging signs composed of the signifier
Externí odkaz:
https://doaj.org/article/5021bf183d7040259483b465caf39cca
Publikováno v:
Frontiers in Robotics and AI, Vol 6 (2019)
An autonomous robot performing tasks in a human environment needs to recognize semantic information about places. Semantic mapping is a task in which suitable semantic information is assigned to an environmental map so that a robot can communicate wi
Externí odkaz:
https://doaj.org/article/a6e2d7a2fa724ebf8fe5c46dc4448f75
Publikováno v:
Frontiers in Neurorobotics, Vol 12 (2018)
In this paper, we propose a hierarchical spatial concept formation method based on the Bayesian generative model with multimodal information e.g., vision, position and word information. Since humans have the ability to select an appropriate level of
Externí odkaz:
https://doaj.org/article/59031b7bc7704f0bbc582b86eed02dcc
Publikováno v:
2023 IEEE/SICE International Symposium on System Integration (SII).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c24fe80b199720a01628cc45df719c14
https://doi.org/10.1109/sii55687.2023.10039318
https://doi.org/10.1109/sii55687.2023.10039318
Publikováno v:
2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5f72f6ab5c0e08871432f3fc54f0f470
https://doi.org/10.1109/iros47612.2022.9981374
https://doi.org/10.1109/iros47612.2022.9981374