通过视觉语言模型进行近距离感应的反射率估算：利用分布语义实现机器人低层次认知

IF 1.4 4区计算机科学 Q4 ROBOTICS

Advanced Robotics Pub Date : 2024-09-02 DOI:10.1080/01691864.2024.2393408

Masashi Osada, Gustavo A. Garcia Ricardez, Yosuke Suzuki, Tadahiro Taniguchi

引用次数: 0

摘要

大型语言模型（LLMs）和视觉语言模型（VLMs）已越来越多地用于机器人的高级认知，但它们在低级认知方面的应用，如解释传感器信息等，仍有待改进。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Reflectance estimation for proximity sensing by vision-language models: utilizing distributional semantics for low-level cognition in robotics

Large language models (LLMs) and vision-language models (VLMs) have been increasingly used in robotics for high-level cognition, but their use for low-level cognition, such as interpreting sensor i...

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来源期刊

Advanced Robotics 工程技术-机器人学

CiteScore

4.10

自引率

20.00%

发文量

102

审稿时长

5.3 months

期刊介绍： Advanced Robotics (AR) is the international journal of the Robotics Society of Japan and has a history of more than twenty years. It is an interdisciplinary journal which integrates publication of all aspects of research on robotics science and technology. Advanced Robotics publishes original research papers and survey papers from all over the world. Issues contain papers on analysis, theory, design, development, implementation and use of robots and robot technology. The journal covers both fundamental robotics and robotics related to applied fields such as service robotics, field robotics, medical robotics, rescue robotics, space robotics, underwater robotics, agriculture robotics, industrial robotics, and robots in emerging fields. It also covers aspects of social and managerial analysis and policy regarding robots. Advanced Robotics (AR) is an international, ranked, peer-reviewed journal which publishes original research contributions to scientific knowledge. All manuscript submissions are subject to initial appraisal by the Editor, and, if found suitable for further consideration, to peer review by independent, anonymous expert referees.