Intelligent Logic Design Strategies for Distributed IoT Environments with Robotic Support

Abstract

IoT devices and robotic technologies can support sensor-based feedback, contextual monitoring, and adaptive control in distributed cyber–physical environments. This article compares three logic design strategies for distributed IoT systems with robotic support: embedded firmware logic, external workflow-based logic, and framework-assisted firmware design. A hybrid architecture is proposed to combine low-latency local control with flexible external orchestration, monitoring, and robotic feedback. To complement the conceptual comparison, a compact validation scenario is introduced, based on sensor reading, local validation, MQTT communication, Node-RED workflow processing, and actuator command execution. The indicative results show that embedded edge logic achieves the shortest response time, with an average value of 1.08 ms, while the hybrid workflow-based path introduces an additional delay, reaching 8.08 ms, but provides greater flexibility, scalability, and multi-device coordination. The findings indicate that hybrid architectures are suitable for inclusive IoT environments when immediate local reactions are combined with configurable external logic and reliable monitoring.