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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
Description
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.
Journal
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- Proceedings of International Conference on Artificial Life and Robotics
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Proceedings of International Conference on Artificial Life and Robotics 29 435-437, 2024-02-22
ALife Robotics Corporation Ltd.
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Details 詳細情報について
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- CRID
- 1390299981561880960
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- ISSN
- 21887829
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- Text Lang
- en
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- Data Source
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- JaLC
- Crossref
- OpenAIRE
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- Abstract License Flag
- Disallowed