DK-SMF: Domain Knowledge-Driven Semantic Modeling Framework for Service Robots

Wedi'i Gadw mewn:
Manylion Llyfryddiaeth
Cyhoeddwyd yn:Electronics vol. 14, no. 16 (2025), p. 3197-3226
Prif Awdur: Joo Kyeongjin
Awduron Eraill: Jeong Yeseul, Kwon Seungwon, Jeong Minyoung, Kim Haryeong, Kuc Taeyong
Cyhoeddwyd:
MDPI AG
Pynciau:
Mynediad Ar-lein:Citation/Abstract
Full Text + Graphics
Full Text - PDF
Tagiau: Ychwanegu Tag
Dim Tagiau, Byddwch y cyntaf i dagio'r cofnod hwn!

MARC

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024 7 |a 10.3390/electronics14163197  |2 doi 
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045 2 |b d20250101  |b d20251231 
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100 1 |a Joo Kyeongjin  |u Department of Electrical and Computer Engineering, College of Information and Communication Engineering, Sungkyunkwan University, Suwon 16419, Republic of Korea; jookj96@skku.edu (K.J.); dptmf35@skku.edu (Y.J.); miutiue@skku.edu (M.J.); khy0403@skku.edu (H.K.) 
245 1 |a DK-SMF: Domain Knowledge-Driven Semantic Modeling Framework for Service Robots 
260 |b MDPI AG  |c 2025 
513 |a Journal Article 
520 3 |a Modern robotic systems are evolving toward conducting missions based on semantic knowledge. Such systems require environmental modeling as essential for successful mission execution. However, there is an inefficiency in that manual modeling is required whenever a new environment is given, and adaptive modeling that can adapt to the environment is needed. In this paper, we propose an integrated framework that enables autonomous environmental modeling for service robots by fusing domain knowledge with open-vocabulary-based Vision-Language Models (VLMs). When a robot is deployed in a new environment, it builds occupancy maps through autonomous exploration and extracts semantic information about objects and places. Furthermore, we introduce human–robot collaborative modeling beyond robot-only environmental modeling. The collected semantic information is stored in a structured database and utilized on demand. To verify the applicability of the proposed framework to service robots, experiments are conducted in a simulated home environment and a real-world indoor corridor. Through the experiments, the proposed framework achieved over 80% accuracy in semantic information extraction in both environments. Semantic information about various types of objects and places was extracted and stored in the database, demonstrating the effectiveness of DK-SMF for service robots. 
653 |a Language 
653 |a Environment models 
653 |a Semantics 
653 |a Service robots 
653 |a Work environment 
653 |a Ontology 
653 |a Information retrieval 
653 |a Knowledge 
653 |a Web Ontology Language-OWL 
653 |a Robots 
653 |a Methods 
653 |a Resource Description Framework-RDF 
653 |a Large language models 
700 1 |a Jeong Yeseul  |u Department of Electrical and Computer Engineering, College of Information and Communication Engineering, Sungkyunkwan University, Suwon 16419, Republic of Korea; jookj96@skku.edu (K.J.); dptmf35@skku.edu (Y.J.); miutiue@skku.edu (M.J.); khy0403@skku.edu (H.K.) 
700 1 |a Kwon Seungwon  |u Department of Intelligent Robotics, College of Engineering, Sungkyunkwan University, Suwon 16419, Republic of Korea; ksw7384@skku.edu 
700 1 |a Jeong Minyoung  |u Department of Electrical and Computer Engineering, College of Information and Communication Engineering, Sungkyunkwan University, Suwon 16419, Republic of Korea; jookj96@skku.edu (K.J.); dptmf35@skku.edu (Y.J.); miutiue@skku.edu (M.J.); khy0403@skku.edu (H.K.) 
700 1 |a Kim Haryeong  |u Department of Electrical and Computer Engineering, College of Information and Communication Engineering, Sungkyunkwan University, Suwon 16419, Republic of Korea; jookj96@skku.edu (K.J.); dptmf35@skku.edu (Y.J.); miutiue@skku.edu (M.J.); khy0403@skku.edu (H.K.) 
700 1 |a Kuc Taeyong  |u Department of Electrical and Computer Engineering, College of Information and Communication Engineering, Sungkyunkwan University, Suwon 16419, Republic of Korea; jookj96@skku.edu (K.J.); dptmf35@skku.edu (Y.J.); miutiue@skku.edu (M.J.); khy0403@skku.edu (H.K.) 
773 0 |t Electronics  |g vol. 14, no. 16 (2025), p. 3197-3226 
786 0 |d ProQuest  |t Advanced Technologies & Aerospace Database 
856 4 1 |3 Citation/Abstract  |u https://www.proquest.com/docview/3244012111/abstract/embedded/6A8EOT78XXH2IG52?source=fedsrch 
856 4 0 |3 Full Text + Graphics  |u https://www.proquest.com/docview/3244012111/fulltextwithgraphics/embedded/6A8EOT78XXH2IG52?source=fedsrch 
856 4 0 |3 Full Text - PDF  |u https://www.proquest.com/docview/3244012111/fulltextPDF/embedded/6A8EOT78XXH2IG52?source=fedsrch