Control of Nano-Robotics via Personalised Microcontroller Bus Architectures

Abstract

 The advancement of nano-robotics has ushered in transformative capabilities across medical, industrial, and environmental domains, necessitating precise and efficient control mechanisms tailored to the unique demands of nanoscale systems. This paper presents a novel framework for controlling nano-robotic systems through personalized microcontroller bus architectures designed to optimize communication, latency, and power consumption. Traditional microcontroller buses, often designed for generalized applications, lack the flexibility and specificity required to meet the stringent timing and control requirements of nano-robotic operations, which involve real-time responsiveness and coordinated actuation at the nanoscale. The proposed personalized bus architecture integrates adaptive communication protocols, configurable data paths, and hierarchical control schemes to facilitate fine-grained command dissemination and feedback collection from heterogeneous nano-robotic components. By tailoring bus parameters such as bandwidth allocation, prioritization schemes, and error correction mechanisms to the individual requirements of each nano-robotic subsystem, the architecture achieves enhanced synchronization, reduced latency, and improved fault tolerance. A comprehensive hardware simulation and FPGA-based prototyping validate the architecture’s effectiveness under diverse nano-robotic control scenarios including swarm coordination, targeted drug delivery, and environmental sensing. Experimental results indicate latency reductions of up to 40% compared to conventional bus designs, with power consumption improvements nearing 30%, thereby extending operational lifetime in power-constrained environments. Furthermore, error resilience is significantly enhanced through personalized error detection and correction strategies, minimizing communication-induced failures.