Comparative Functional-Structural-Power-Sensing-Intelligence-Dynamic Task- Environmental Study of MIS Robotic Systems Complexity

Abstract

The prevalence of MIS robotic technology has increased in such a way, both in the social, health and economic aspects, that it is extremely important to have valid and generally accepted ways to measure the complexity of the very diverse technologies. In the beginning of the second decade of this XXI century, we are experiencing a new technological revolution in the way surgery is offered all around the world. We can say that we are probably living in the beginning of the Third generation of MIS technology where functionality and security are no longer the predominant criteria to qualify a new robotic system for medical use. We are seeing since the end of the 2000’s how new projects are trying to justify the change between the current haptic approach of multi-input Multi-output robust static out vivo machines with various actuators, each one with many degrees of freedom, to a new approach using a network of many mini-robots with few actuators. It is strongly necessary to develop measures of comparison of the different MIS robotic systems in terms of functional, structural, sensing, intelligence, interface, and dynamic task, environmental and power complexity, applicable to any machine system. A complexity comparison study of this kind, must involve a way to determine levels of complexity that can be computed from design parameters of any robot. This qualitative study aims to fill the gap that is the lack of objective measures of complexity used to describe features of these machines.