RoboCup@Home 2023: Stickler for the Rules Task Solutions
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- Shiba Tomoya
- Kyushu Institute of Technology
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- Tamukoh Hakaru
- Kyushu Institute of Technology
説明
This paper proposes a robot vision system that detects illegal persons who violate house rules such as wearing shoes in a home environment. Such complex vision systems often require multiple AI systems including person detection, object detection, and more. Our approach simplifies this by leveraging the combined capabilities of Grounding DINO and SAM to detect rule violations effectively. The success of our method was proven at RoboCup@Home 2023, where it secured the highest score among all participating teams.
収録刊行物
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- 人工生命とロボットに関する国際会議予稿集
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人工生命とロボットに関する国際会議予稿集 29 435-437, 2024-02-22
株式会社ALife Robotics
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詳細情報 詳細情報について
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- CRID
- 1390299981561880960
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- ISSN
- 21887829
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- 本文言語コード
- en
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- データソース種別
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- JaLC
- Crossref
- OpenAIRE
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- 抄録ライセンスフラグ
- 使用不可