• The Journal of the Korea institute of electronic communication sciences
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• v.17 no.5
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• pp.933-940
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• 2022

In this paper, the algorithm was developed to recognize hand 3D position through 2D image sensor and implemented a system to remotely control the 6 d.o.f. robot arm by using it. The system consists of a camera that acquires hand position in 2D, a computer that controls robot arm that performs movement by hand position recognition. The image sensor recognizes the specific color of the glove putting on operator's hand and outputs the recognized range and position by including the color area of the glove as a shape of rectangle. We recognize the velocity vector of end effector and control the robot arm by the output data of the position and size of the detected rectangle. Through the several experiments using developed 6 axis robot, it was confirmed that the 6 d.o.f. robot arm remote control was successfully performed.

• Proceedings of the Korea Information Processing Society Conference
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• 2022.11a
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• pp.785-787
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• 2022

인공지능 로봇 산업의 발달로 우리의 일상생활 속 다양한 곳에서 활용되고 있다. 그러나 로봇의 고비용, 높은 진입 장벽의 문제로 상용화하기에 쉽지 않은 것은 사실이다. 따라서 본 논문에서는 기존 바리스타 로봇의 고비용, 높은 진입 장벽의 한계점을 해결하기 위해 저렴한 오픈소스 로봇인 elephant robotics사의 my cobot 280 pi와 Python을 통한 영상처리 기술을 접목하여 가성비 바리스타 로봇을 제작하고자 한다.