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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| 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
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10786984/ |
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