Control Technology for Soft Robots: From Traditional Methods to Intelligent Control Methods
TL;DR
This paper systematically sorts out the latest research progress of soft robot control technology, elaborates on the optimized application of traditional PID control and its improved algorithms, details the practical application effect of pneumatic drive technology in complex working conditions, and deeply explores the application of intelligent control technologies such as neural networks and multi-vision control.
Abstract
Soft robots, featuring flexible and adaptable structures, have become an indispensable part of modern industrial production, medical care and infrastructure construction. Their unique flexible design allows them to adapt to various complex and harsh working environments, effectively solving the limitations of traditional rigid robots in special scenarios. High- performance control technology is the core guarantee for their stable operation, which has attracted extensive attention in the field of intelligent robotics and has become a key research direction. This paper systematically sorts out the latest research progress of soft robot control technology, elaborates on the optimized application of traditional PID control and its improved algorithms, details the practical application effect of pneumatic drive technology in complex working conditions, and deeply explores the application of intelligent control technologies such as neural networks and multi-vision control. It also analyzes the existing bottlenecks in nonlinear control systems, puts forward targeted improvement measures, and looks forward to the development trend of parameter optimization, algorithm fusion and lightweight deployment, providing valuable ideas and technical support for the high-precision, intelligent and efficient development of soft robots.