When robots gain the intelligence of the Internet of Things, automation becomes collaboration. The fusion of Robotics and IoT (Internet of Things) is redefining how machines sense, think, and act—transforming static automation into adaptive, data-driven systems. From smart factories to service robots and connected consumer devices, this convergence enables real-time awareness, edge AI, and secure control that powers the next generation of intelligent machines.
Written by a seasoned engineer and technology author, Robotics Meets IoT bridges two fast-moving disciplines—robotics engineering and IoT architecture—into a unified, practical framework. Rooted in real-world projects, industry best practices, and modern standards like ROS 2, MQTT, 5G, and Edge AI, the book aligns with how engineers actually design connected systems today. Each concept is distilled from professional practice and emerging frameworks shaping smart automation in 2025 and beyond.
This concise and practical guide teaches you how to build robots that connect, learn, and adapt. You’ll go from core principles to full system integration learning how to design architectures that sense their environment, communicate securely, and act intelligently. Every chapter builds your mastery step by step, combining engineering clarity, actionable code, and future-ready design insight. By the end, you’ll know how to build not just a robot, but an entire intelligent ecosystem where sensors, controllers, and networks work together in harmony.
What’s InsideExplore the building blocks of connected intelligence through practical, engineering-focused
The architecture of convergence — how robots, IoT devices, and networks synchronize through the Sense → Connect → Act loop.
Real-world projects: build an IoT-enabled robot, stream telemetry via MQTT, and control actuators securely from dashboards.
Edge AI and 5G robotics — integrate machine learning, local inference, and low-latency communication.
Security and privacy foundations for connected authentication, encryption, and firmware integrity.
Scalable architectures — edge-cloud and hybrid patterns for fleets, swarm robotics, and predictive digital twins.
Hands-on code snippets in Python, ROS 2, and MicroPython that you can test and expand immediately.
Each section connects theory with practice—ensuring you understand the “why” before mastering the “how.”
This book is written for engineers, developers, makers, and students who want to master modern robotics beyond the basics. Whether you’re automating factory processes, designing an IoT-connected drone, or prototyping a service robot, you’ll find clear guidance for every stage of the journey. If you’ve ever felt that robotics and IoT resources were too fragmented, too academic, or too outdated—this book brings everything together in one practical, forward-thinking roadmap.
You’ll progress from concept to functional prototype in weeks, not months. Each chapter is intentionally concise and cumulative, giving you step-by-step clarity without wasted theory.