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NTIS 바로가기전기전자학회논문지 = Journal of IKEEE, v.24 no.2, 2020년, pp.638 - 648
염승호 (Dept. of Electronics Engineering, Korea Polytechnic University) , 엄수홍 (Dept. of Electronics Engineering, Korea Polytechnic University) , 이응혁 (Dept. of Electronics Engineering, Korea Polytechnic University)
Currently, the method of user-follwoing in intelligent cooperative robots usually based in vision system and using Lidar is common and have excellent performance. But in the closed space of Corona 19, which spread worldwide in 2020, robots for cooperation with medical staff were insignificant. This ...
핵심어 | 질문 | 논문에서 추출한 답변 |
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협동로봇의 작업자 추종 방법이 코로나 사태에서 사용되지 못한 이유 | 코로나19사태에서는 의료인력들이 바이러스 감염 방지를 위해 모두 방호복을 입고 있어 기존에 비전 시스템으로 연구 개발된 사용자 객체 추정 기술 적용에 애로사항이 발생했으며, 급작스럽게 꾸려진 의료 환경에 실내 측위 기술을 적용이 쉽지 않기 때문이다[10-12]. | |
협동로봇의 시장의 앞으로의 전망 | 협동로봇은 인간과 작업 공간을 공유하며 물리적인 상호작용을 할 수 있는 로봇을 지칭한다[2-3]. 협동로봇은 4차 산업에 진입하면서 연평균 68% 수준의 초고속 성장을 하고 있으며 2020년 이후 세계적으로 6조 5000억원 이상의 규모로 시장이 확대될 것으로 전망되고 있다[4]. 현재 의료지원을 위한 협동로봇은 진료카트로봇, 자율 급식 이동로봇 등이 있으며 실제 의료진과 근접 위치에서 활용가능한 상용 제품으로는 엔티로봇사의 CareMeal, Sbot2-MD, Twinny사의 따르고, 유진로봇사의 고카트 등이 대표적인 추종형 협동로봇이다[5-6]. | |
협동로봇이란? | 이러한 한정된 의료인력을 지원하기 위해서 협동로봇이 화두가 되고 있다. 협동로봇은 인간과 작업 공간을 공유하며 물리적인 상호작용을 할 수 있는 로봇을 지칭한다[2-3]. 협동로봇은 4차 산업에 진입하면서 연평균 68% 수준의 초고속 성장을 하고 있으며 2020년 이후 세계적으로 6조 5000억원 이상의 규모로 시장이 확대될 것으로 전망되고 있다[4]. |
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