Biological Nanorobot Architecture for Medical Target Identification

This work has an innovative approach for the development of biological nanorobots with sensors for medicine. The biological nanorobots operate in a virtual environment based on random, thermal and chemical control techniques. The biological nanorobot architecture model has biological nano bioelectronics as the basis for manufacturing integrated system devices with embedded biological nano biosensors and actuators, which facilitates its application for medical target identification and drug delivery. The biological nanorobot interaction with the described workspace shows how these biological nanorobots detect the target area and supply the drug. Therefore, our work addresses the control and the architecture design for developing practical molecular machines. Advances in nanotechnology are enabling manufacturing nanosensors and actuators through nano bioelectronics and biologically inspired devices. Analysis of integrated system modeling is one important aspect for supporting nanotechnology in the fast development towards one of the most challenging new fields of science: molecular machines. The use of 3D simulation can provide interactive tools for addressing nanorobot choices on sensing, hardware architecture design, manufacturing approaches, and control methodology investigation. INTRODUCTION: Nanoscale science has become a challenging area in building a biomolecular scale device. Nano engineering advances programmable and controllable nanoscale robot called nanorobot which performs specific task with precision at nanoscale dimension can work inside human body. In near future, nanoscale technology will allow the production and deployment of nanorobots for investigating within human body providing information about the target environment. Though nanorobots have not yet been able to produce, theoretical studies identify their possibility sort of capabilities in nanomedicines. Chemical recognition is used to find out the target within human body. The target has surface chemicals that allow the nanorobots to detect and recognize it. By measuring changes in volume, concentration, displacement and velocity, pressure, or temperature of cells in a body, nanorobots may be able to distinguish between and recognize certain cells. Movement of is carried out in self organized way by applying Particle Swarm Optimization algorithm. Along with the self organized behavior, obstacle avoidance is also considered to get the complete control strategy during movement trajectory. Obstacle should be avoided intelligently when a nanorobot has been placed within human body.