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김성현,김예승,김민송,송진혁,윤동원 한국로봇학회 2019 로봇학회 논문지 Vol.14 No.3
Snake robots are slower than wheeled robots or legged robots, while they have an excellent terrainability in a disastrous area. Considering their advantages and disadvantages, a legged robot whose legs are snake robots, ‘Quadnake’ was proposed in this research. Five motions of the snake were analyzed. Applying these motions, Quadnake could implement eight kinds of motions which snake robots and quadruped walking robots can implement. As a result of it, Quadnake can have the advantages of both a snake robot and a walking robot. It is expected to move stably in a harsh terrain with snake’s motion and move fast with walking.
식사보조 로봇 사용자의 시선 방향 추정 딥러닝 모델 기반 식사 의도 인식 시스템
박현지(HyunJi Park),장인훈(Inhoon Jang),고광은(KwangEun Ko) 제어로봇시스템학회 2021 제어·로봇·시스템학회 논문지 Vol.27 No.5
Care robots that provide dietary supplements to the elderly and the disabled should be able to intelligently interact with the users’ intention to eat in real-time and provide the food they want. To this end, based on deep learning, we have developed a user interface that facilitates the selection of food to be eaten according to six user gaze directions. A single-stage object-detection deep learning model has been implemented as a lightweight, single-stage object-detection deep learning model that can be installed on commercial tablets, and the accuracy of this model was 0.9857.