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.
초록·키워드
In industrial settings, autonomous robotic systems have become more common. Companies use autonomous robots to optimise repetitive, time-consuming tasks and improve efficiency. Strategically integrating robots frees up human resources from manual tasks to boost workplace efficiency and productivity. As they pursue Industry 4.0 goals, companies need autonomous robots to meet strict security standards. This depends on preserving confidentiality regarding sensitive information and protecting personnel health and safety. The mobile robot in this experiment aimed to simplify the transportation of standard load carriers, such as plastic boxes used in Kanban storage racks. A controlled lab environment was needed to recreate the robot’s working environment. To streamline delivery, an innovative optical camera and depth vision were added. With this technology configuration, the robot could perform tasks independently. Limiting data retrieval helped the depth camera distinguish conventional boxes. The main project achievement was proving that an autonomous guided vehicle could transport plastic boxes while protecting company data. This method replaced manual part retrieval from secure locations, improving operational efficiency and reinforcing data security.
인공지능 문자 인식 모델을 통해 추출된 텍스트로, 일부 오타나 오류가 포함될 수 있으나 지속적으로 개선 중입니다.
오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.
오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.
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