Design and Research of Robot Image Perception System Based on Artificial Intelligence

Abstract

In recent years, with the rapid development of science and technology, the performance and functions of traditional robots have gradually failed to meet people’s needs for production and life, and the development of robots has gradually become intelligent and networked. Among them, as the core technology of mobile robot positioning and navigation, environment perception technology has always been the focus and hot research issue in the field of robotics. This paper mainly studies the design of a robot image perception system based on artificial intelligence. In this paper, a tetrahedral robot image-sensing system based on a panoramic camera is proposed and designed, and a U-net convolutional image semantic segmentation network is designed.

Elevating Mobile Robotics: Pioneering Applications of Artificial Intelligence and Machine Learning

“…First and foremost, sensing and perception constitute vital domains. Mobile robots depend on an array of sensors such as LIDAR, cameras, infrared technology [3,4], and ultrasonic systems [5] to apprehend their surroundings. These sensors furnish the robot with essential data, enabling the detection of obstacles and object recognition, thus serving as the bedrock for perception and control operations [6].…”