2020 Volume Annual58 Issue Abstract Pages 129
To create safe and effective control systems for surgical robots, intraoperative biological information is required. However, this information is limited, making it difficult to predict accurate biological responses. If patient-specific models are constructed by combining multidisciplinary computational anatomy with intraoperative biological information, the robots can be controlled by accurately predicting biological responses to the surgery. This approach would imply the realization of safer and more sophisticated treatments. This formed the background for the proposed highly intelligent surgical robot that can approach a surgical area using multidisciplinary computational anatomy and limited intraoperative biological information.From these background, we conducted the following studies: (i) navigation and robotic system for colon surgery, (ii) study on stapler device control for pancreatic tissue damage suppression, and (iii) navigation and robotic system for oral and maxillofacial surgery. The robot will be controlled based on the prognostic prediction made by patient data.