Unsupervised lexical acquisition of relative spatial concepts using spoken user utterances-Reference-Cited by-同舟云学术

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Unsupervised lexical acquisition of relative spatial concepts using spoken user utterances

Published:2021-12-03 Issue:1-2 Volume:36 Page:54-70
ISSN:0169-1864
Container-title:Advanced Robotics
language:en
Short-container-title:Advanced Robotics

Author:

Sagara Rikunari¹,Taguchi Ryo¹,Taniguchi Akira²,Taniguchi Tadahiro²,Hattori Koosuke³,Hoguro Masahiro³,Umezaki Taizo³

Affiliation:

1. Taguchi Laboratory, Department of Computer Science, Nagoya Institute of Technology, Aichi, Japan

2. Emergent Systems Laboratory, College of Information Science and Engineering, Ritsumeikan University, Shiga, Japan

3. College of Engineering, Chubu University, Aichi, Japan

Funder

Japanese Ministry of Education Culture, Sports, Science and Technology

Publisher

Informa UK Limited

Subject

Computer Science Applications,Hardware and Architecture,Human-Computer Interaction,Software,Control and Systems Engineering

Link

https://www.tandfonline.com/doi/pdf/10.1080/01691864.2021.2007168

Reference32 articles.

1. Rules and representations

2. Symbol emergence in robotics: a survey

3. Survey on frontiers of language and robotics

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1. Unsupervised Multimodal Word Discovery Based on Double Articulation Analysis With Co-Occurrence Cues;IEEE Transactions on Cognitive and Developmental Systems;2023-12

2. Active exploration based on information gain by particle filter for efficient spatial concept formation;Advanced Robotics;2023-06-21

3. Editorial: Constructive approach to spatial cognition in intelligent robotics;Frontiers in Neurorobotics;2022-11-15

4. Automatic selection of coordinate systems for learning relative and absolute spatial concepts;Frontiers in Robotics and AI;2022-08-12

5. Hippocampal formation-inspired probabilistic generative model;Neural Networks;2022-07

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