An Integrated Robotics and Sensor–Circuit Framework with Edge Microprocessing for Intelligent Health Informatics Systems

Abstract

Robotics, sensor technology, and edge computing have revolutionized healthcare with real-time patient monitoring, sophisticated diagnostics, and autonomous services. A detailed architecture of robotics, sensor circuits, and edge microprocessors for intelligent health informatics systems is presented. The proposed architecture will provide a responsive, efficient, and scalable healthcare ecosystem using IoMT, edge-based machine learning algorithms, and robotic process automation. We give quantitative performance indicators by analyzing system architecture, component integration, data flow processes, and implementation difficulties. Response time (73 percent), energy usage (40 percent), and diagnostic accuracy (92 percent) improve with the framework. The study will help improve intelligent healthcare systems through the practical, implementable solution that tackles the existing healthcare informatics issues without violating HIPAA standards and preserving patient information..