Soft Actuator
Soft actuators are artificial muscles designed to mimic the flexibility and adaptability of biological systems, primarily aiming to create robots capable of interacting safely and effectively with unstructured environments. Current research emphasizes improving control precision through advanced modeling techniques, including nonlinear models based on Ludwick's Law and data-driven approaches like Gaussian Processes and neural networks, as well as exploring novel materials and designs to enhance performance and robustness. This field is significant for its potential applications in diverse areas such as medical devices, prosthetics, and assistive robotics, driving advancements in both robotics and materials science.
Papers
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