Reinforcement learning for object recognition and room classification in an indoor environment
This paper presents an integrated system for autonomous navigation and object prioritisation using a mobile robot in an indoor environment. The system combines deep learning for room classification (VGG16) and object detection (YOLOv8) with Proximal Policy Optimisation (PPO) reinforcement learning t...
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| Principais autores: | , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
EDP Sciences
2025-01-01
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| Colecção: | MATEC Web of Conferences |
| Acesso em linha: | https://www.matec-conferences.org/articles/matecconf/pdf/2025/11/matecconf_rapdasa2025_04010.pdf |
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