Cable Driven

Cable-driven systems are mechanisms using cables to actuate robots, offering advantages in lightweight design, large workspace, and adaptability. Current research emphasizes improving control precision and force estimation in these systems, often employing deep neural networks (DNNs) and model predictive control (MPC) algorithms to address challenges like cable hysteresis and accurate joint position calibration. These advancements are driving progress in diverse applications, including assistive robotics (exosuits for rehabilitation and mobility support), minimally invasive surgery, and even artistic endeavors like large-scale painting.