Abstract
Robotics systems designed for surgical applications such as Neurosurgery, likely may need to implement synchronous communication in real time and asynchronous learning. It will likely primarily be oriented towards spatial imaging and 3D virtualization, various communication protocols, and calibration settings in order to perform optimal results. In regards to computation, it needs to be heavily fault tolerant in operation. It also needs to be aware of false positives. Likely a complex deep brain surgical robotics system would implement variations of brain mapping technology and may utilize topological neuroanatomy. Various technologies in regards to the mapping of the brain, visualization, robotics and mechatronics systems would need to be in place. This paper is to look at the sciences through a theoretical and conceptual process. This isn't FDA reviewed for medical accuracy and is meant to warrant a theoretical paper where information is "as-is". This will hopefully provide a blueprint for continuing research later on.