Surgical Robot
Surgical robots aim to enhance minimally invasive surgery through increased precision, dexterity, and automation. Current research focuses on improving robot control via advanced algorithms like deep neural networks for tasks such as force estimation, calibration, and image processing (e.g., dehazing, object segmentation), often incorporating multimodal data (vision, haptics, voice) and leveraging reinforcement learning for autonomous task execution. These advancements hold significant promise for improving surgical outcomes, reducing surgeon workload, and expanding the accessibility of complex procedures.
Papers
Haptic-Enhanced Virtual Reality Simulator for Robot-Assisted Femur Fracture Surgery
Fayez H. Alruwaili, David W. Halim-Banoub, Jessica Rodgers, Adam Dalkilic, Christopher Haydel, Javad Parvizi, Iulian I. Iordachita, Mohammad H. Abedin-Nasab
Design and Experimental Evaluation of a Haptic Robot-Assisted System for Femur Fracture Surgery
Fayez H. Alruwaili, Michael P. Clancy, Marzieh S. Saeedi-Hosseiny, Jacob A. Logar, Charalampos Papachristou, Christopher Haydel, Javad Parvizi, Iulian I. Iordachita, Mohammad H. Abedin-Nasab