Lower Limb Prosthesis

Lower-limb prosthetics research aims to create devices that restore natural gait and functionality for amputees, focusing on improved control and adaptability. Current efforts leverage advanced algorithms, including deep learning models (e.g., transformers) for precise joint angle estimation and force-based nonlinear control for emulating human-like movement, often incorporating data from multiple sensors and employing musculoskeletal models. These advancements, along with the development of adaptable soft robotic feet and improved gait phase detection methods, promise more natural and versatile prosthetic control, enhancing the quality of life for amputees and advancing the field of rehabilitation engineering.