摘要
Abstract
This study centered on the combination of robot visual perception and artificial intelligence algorithms.The basic concepts of robot visual perception,as well as the current application scenarios and challenges of AI algorithms in visual tasks were elaborated.In the methodology section,the performance of different algorithms in image processing,object recognition and environment mapping was compared through experiments,and the algorithms were tuned accordingly.The development trend of robot visual perception technology was analyzed,and the future application prospects of AI algorithms in robot vision were discussed.The study showed that the application of AI algorithms to robot visual perception could significantly improve the performance of robots and provide strong technical support for the next-generation autonomous robots,and also expanded the scope of application of AI theories in practice,which was of important research significance and practical value.关键词
机器人视觉感知/人工智能算法/深度学习/物体识别/环境映射Key words
robot visual perception/artificial intelligence algorithm/deep learning/object recognition/environment mapping分类
信息技术与安全科学
