Innovative methods of control and design of continuum robots

Abstract

This article discusses the latest methods of control and design of continuum robots, including adaptive control, visual control, the use of hybrid materials and the integration of artificial intelligence. Solutions for improving the accuracy and maneuverability of robotic systems, such as hybrid controllers, fuzzy controllers, singularity avoidance algorithms and dynamic modeling methods, are described. Innovative approaches to stiffness management, the use of biomimetic principles and flexible materials, as well as adaptive trajectory planning are also discussed. Practical applications in the medical field, such as fetoscopic operations and minimally invasive neurosurgical procedures, are considered. Examples of experimental studies demonstrating the effectiveness of the proposed methods and technologies to improve the functionality and adaptability of continuum robots are given.