The purpose of this research is to take a step forward in the state of science regarding the effective application of intraoperative information and integrate it into the global process of robotic surgery, particularly in neurosurgery and in the brain shift phenomenon management. In general, it can be said that surgery is currently planned exclusively with preoperative information, and once within the surgical process, intraoperative information is provided by the Surgical Navigation System.

This proposal aims to provide a solution to this problem, developing the necessary technology to provide quality, useful intraoperative information that allows the design of new adaptive control algorithms for robotic assistants that can be used in neurosurgery. Specifically, developments are proposed in the areas of (i) surgical registration with soft tissues, (ii) force-based robotic navigation algorithms and the (iii) application of AI developments for different enabling technologies that exist in the neurosurgery process, which are: segmentation and registration in medical images; intraoperative ultrasound systems and their use as intraoperative imaging systems; the design of new robotic surgical tools adapted to new approaches and the definition of new cognitive architectures for interaction/cooperation between surgeon and robot based on the level of autonomy required at each stage of the operation.