Tendon Driven Continuum Robot

Tendon-driven continuum robots are flexible manipulators whose shape is controlled by adjusting the tension in internal tendons, enabling navigation of confined spaces and interaction with complex environments. Current research emphasizes developing accurate kinematic models, often employing deep learning (e.g., convolutional neural networks, recurrent neural networks) to address challenges like hysteresis and model uncertainty, and improving control strategies such as model predictive control and visual servoing. These advancements are crucial for expanding the applications of continuum robots in minimally invasive surgery, industrial inspection, and other fields requiring dexterity and adaptability in constrained settings.