Tip Tracking Experiment

Tip tracking experiments are crucial for evaluating the performance and control of various robotic systems, particularly in the emerging field of continuum robots. Current research focuses on improving the accuracy and robustness of tip tracking, often employing advanced models like Cosserat rod theory and machine learning algorithms for image processing and state estimation. These advancements are vital for enhancing the dexterity, stability, and payload capacity of soft robots and improving the precision of minimally invasive surgical procedures and other applications requiring flexible manipulation. The development of accessible educational tools and standardized phantoms further contributes to the advancement and wider adoption of this technology.