Shachar Ashkenasy

Learning-Aided Kalman Tracking in Biased Dynamic Systems: The Case of Cable-Driven Robots for Surgery

In cable-driven robots, the actuation is transmitted via long cables for control and manipulation of the end-effectors. The cables introduce biases due to non-linear tension, creating a challenge for accurate modeling and localization. This paper presents a novel data-driven algorithm that addresses…