Improving the accuracy of medical robotic arms based on SLAM technology

With the advancement and development of technology, robotic and remote communication technologies have been applied to the fields of biopharmaceuticals and clinical medicine. In many surgeries, such as stitching and minimally invasive surgery, it is difficult for surgeons to observe the precise situation of the surgical site with the naked eye and perform detailed operations by hand. At the same time, long-term, high-intensity surgical operations can cause mental load and stress for doctors, increasing the possibility of surgical errors. Therefore, there is a need for technological support to manipulate intricate surgery and reduce the tedious work and workload for doctors. In response to this demand, medical robotic arms have emerged and gradually been applied in clinical practice. However, to ensure the quality of the surgery, the technology applied to the robotic arm, such as Simultaneous Localization And Mapping (SLAM) and Augmented Reality (AR), has relatively high accuracy requirements. This article aims to explore the application and development of this technology by combining SLAM technology with multiple sensors to achieve precise positioning and effective obstacle avoidance, and to further investigate the experimental principles and advantages and disadvantages of the RRT* algorithm, providing possible reference for the improvement of the technology.