A conscious model for autonomous robotics: statistical evaluation

摘要

Autonomous mobile robots require efficient control of their movement. This paper focuses on a prototype based on COdelet FRAMework (COFRAM) consciousness model for autonomous mobile robots. The prototype is named Movement Of Autonomous .Robotics Codelet System (MARCOS). Here is an in-depth analysis of this nonlinear controller that complements a main close-loop controller. It performs complex information processing about the current robot status and environment, and suggests alternative reactions to the main controller. This paper describes MARCOS and COFRAM, as well as statistics on how concepts evolve for real-world indoor environments. From the results, it can be said that it is a suitable adaptive controller for learning situations.