Research on Key Technologies of machine Vision of AI based intelligent robot

With the progress of science and technology, intelligence has become an inevitable trend of the development of today's society. As a representative of intelligent technology, intelligent robots have high research value. The purpose of this study is to deeply explore the key technologies of machine vision and data fusion of intelligent robots based on AI, and improve the holographic depth perception, decision-making and execution capabilities of intelligent robots. Path planning is a basic and important problem in mobile robot research. Based on the research of robot vision, this paper proposes a vision-based real-time obstacle avoidance and navigation control algorithm for autonomous mobile robot, which has been implemented on GIAA-2<sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">[1]</sup>. Through the application of full vision technology, this study successfully realized the high-precision positioning and autonomous navigation of intelligent mobile robot in complex environment. Experimental results show that the positioning accuracy of the system reaches centimeter level, and the navigation stability is significantly improved.