国产欧美精品一区二区,中文字幕专区在线亚洲,国产精品美女网站在线观看,艾秋果冻传媒2021精品,在线免费一区二区,久久久久久青草大香综合精品,日韩美aaa特级毛片,欧美成人精品午夜免费影视

Aiming at developmental constraints such as the high threshold of control programming for chemical experiment manipulators and the low accuracy of skill acquisition, a control system for desktop experimental manipulators based on audio-visual information fusion algorithm is designed. Teach the mechanical arm movement skills, and then replace the experimenter to complete some tedious and dangerous experimental work. The system is divided into two parts: skill acquisition and movement control. Its skill acquisition part uses an improved dual-stream convolutional network to achieve motion detection; uses voice AI and regular expressions to achieve voice extraction; and then uses audio-visual motion information fusion algorithms to integrate motion detection and voice recognition information to obtain a high degree of coincidence The accuracy of skill acquisition can reach more than 81%. The motion control part uses motor control and grasping pose recognition, which can achieve more precise control and grasping. The system can be used for the teaching and control work of chemical experiments with specific processes. It can replace the experimenter to complete the chemical experiment work while greatly reducing the programming threshold and improving the efficiency.