Tendon Driven Musculoskeletal Humanoid

Tendon-driven musculoskeletal humanoid robots aim to replicate the complex biomechanics of human movement, offering advantages in dexterity and adaptability over traditional robotic designs. Current research focuses on overcoming challenges in accurate modeling and control, employing neural networks to learn complex joint-muscle mappings and compensate for model inaccuracies arising from soft tissues and complex joint structures. These advancements are crucial for improving the robustness and reliability of these robots, potentially leading to more sophisticated and human-like robots for applications ranging from assistive robotics to disaster response.