인문학
사회과학
자연과학
공학
의약학
농수해양학
예술체육학
복합학
DBpia AI
AI 에이전트
AI 아이디어
AI 리더
AI 뷰어
Citeasy
크롬 서지관리 다운로드
지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 저자정보
피인용 0
초록·키워드
Monitoring is essential to ensure safe and efficient operations in human-robot collaborative (HRC) assembly. This study presents a context-based monitoring interface designed for HRC assembly operations with two heterogeneous collaborative robots (cobots). The interface architecture consists of data acquisition, processing, decision-making, communication, and visualization layers. Key features of the system include understanding the operational context by monitoring both manual and automated tasks, collision prevention, and dynamic task execution based on real-time task progress. By incorporating ontology-based knowledge management, the interface connects with task assignment and monitoring models, providing a simplified and clear visualization of operational data, task progress, resource status updates, and cobot movement direction. The Modbus protocol ensures efficient data exchange, maintaining a synchronized workflow between operators and cobots. Decision-making processes, such as cobot speed adjustments and early task execution based on monitoring, resulted in significant reductions in assembly time, with a 42.9% improvement over baseline operations. Compared to existing HRC monitoring systems, this interface reduces cognitive load through a clear, structured layout, enhancing task comprehension and worker safety. This study demonstrates the potential of context-aware interfaces to optimize safety, productivity, and adaptability in HRC environments, contributing to a more efficient collaborative assembly process.
본문·목차
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