Continuum Tip

Continuum tip research focuses on developing and controlling flexible, adaptable robotic manipulators with continuous, rather than discrete, degrees of freedom. Current research emphasizes improving kinematic modeling and state estimation for these systems, often employing Gaussian-based representations or novel algorithms like Heterogeneous-Agent Mirror Learning to enhance control and accuracy. This work has significant implications for minimally invasive surgery, underwater robotics, and other applications requiring dexterity and adaptability in confined spaces, as evidenced by the development of low-cost, open-source platforms and improved control algorithms.