Pneumatic Soft Robot

Pneumatic soft robots, utilizing air pressure for actuation, are being developed to achieve safer and more adaptable manipulation in challenging environments. Current research emphasizes improving control precision through advanced algorithms, such as neural networks and model-based approaches, to address the inherent complexities of their nonlinear dynamics and infinite degrees of freedom. This includes developing robust proprioceptive sensing methods, often integrating machine learning with various sensor modalities, and creating modular, open-source designs to facilitate reproducibility and wider adoption. The resulting advancements hold significant promise for applications ranging from minimally invasive surgery to complex industrial tasks.