The Robot Visual Servoing Based on Transformer Model

With the continuous development of industry, the ability of robot visual servoing to complete generalization tasks in complex or unknown environments has gradually become one of the focuses. However, since the Transformer model’s introduction, it has shown great potential in many application fields, especially in improving generalization ability and performing global sequence calculations, where it has excellent applications. This paper starts by analyzing the characteristics and development history of the Transformer model technology and the robot visual servoing, classifies the visual servoing, and discusses the problems it is facing. It also elaborates on the contributions, applications, and problems solved by scientists when integrating the two technologies, thereby future enhancing the performance of the robot visual servoing. This paper systematically classifies and summarizes various studies on robot visual servoing based on the Transformer model, and also summarizes the current challenges and future development directions in improving generalization ability. This paper aims to provide valuable insights and references for future research and development in the field of robot visual servoing and intelligent control.