Validation of LLM-Generated Object Co-Occurrence Information for Understanding Three-Dimensional Scenes

Validation of LLM-Generated Object Co-Occurrence Information for Understanding Three-Dimensional Scenes

This study delves into verifying the applicability of object co-occurrence information generated by a large-scale language model (LLM) to enhance a robot’s spatial ability to understand objects in the real world. Co-occurrence information is crucial in enabling robots to perceive and navi...

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Bibliographic Details
Main Authors: Kenta Gunji, Kazunori Ohno, Shuhei Kurita, Ken Sakurada, Ranulfo Bezerra, Shotaro Kojima, Yoshito Okada, Masashi Konyo, Satoshi Tadokoro
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Semantic scene understanding
large language models
co-occurrence validation
prompt engineering
Online Access:https://ieeexplore.ieee.org/document/10786984/
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https://ieeexplore.ieee.org/document/10786984/

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