Fiber Bragg Grating
Fiber Bragg gratings (FBGs) are optical sensors used for shape sensing, particularly in applications requiring precise and robust measurements in challenging environments like minimally invasive surgery and soft robotics. Current research focuses on improving the accuracy and reliability of shape reconstruction from FBG data, employing techniques such as deep neural networks and advanced signal processing algorithms to overcome limitations posed by sensor noise and complex geometries. This work is significant because accurate shape sensing is crucial for enabling advanced control and feedback mechanisms in various robotic systems, improving safety and performance in areas such as medical robotics and industrial automation.
Papers
Using Supervised Deep-Learning to Model Edge-FBG Shape Sensors
Samaneh Manavi Roodsari, Antal Huck-Horvath, Sara Freund, Azhar Zam, Georg Rauter, Wolfgang Schade, Philippe C. Cattin
The secret role of undesired physical effects in accurate shape sensing with eccentric FBGs
Samaneh Manavi Roodsari, Sara Freund, Martin Angelmahr, Georg Rauter, Wolfgang Schade, Philippe C. Cattin