Soft Pneumatic Actuator

Soft pneumatic actuators are flexible, inflatable devices used in soft robotics to achieve a wide range of movements and manipulations. Current research emphasizes improving control precision through techniques like feedforward hysteresis compensation (using models such as fuzzy pneumatic physical reservoir computing and Echo State Networks) and data-driven design optimization (employing Gaussian mixture models and generative AI). This field is significant because it addresses challenges in modeling and controlling nonlinear systems, leading to advancements in areas like assistive robotics, grippers, and bio-inspired robots with improved dexterity and adaptability.