Books

Dive into 'Node-OPCUA' and explore the world of industrial protocols with the author's proven recipes. Learn how to build exceptional OPC UA clients and servers through hands-on examples, elevating your industrial programming expertise from basic to advanced levels. This guide is key to mastering Node-OPCUA in JavaScript and TypeScript.

This book takes you through the most common patterns and frameworks used by developers while creating software based on ROS 2. It's not a programming guide guiding you through the basic APIs, but is meant to help you organizing complex architectural patterns in robotics. It is written with an informal tone that will hopefully keep you entertained.

Model Predictive Control sounds complicated—until you see how naturally it fits the way you already think. Look ahead. Plan. Adjust. Repeat. This book turns a powerful control method into something intuitive, practical, and surprisingly simple.

Kalman Filters Made Easy is a clear, intuitive introduction to one of engineering’s most powerful tools for dealing with noisy, imperfect, real‑world data. Instead of drowning you in equations, this book builds deep understanding through real examples — from drifting GPS signals to unpredictable sensor timing — and shows how engineers combine noisy measurements and imperfect models to estimate what’s really happening. If you work with robotics, drones, autonomous systems, or sensor‑driven devices, this guide gives you the mental models you need to design reliable systems in an uncertain world. This reflects the book’s core message: “The world gives us noisy, imperfect measurements. We want clean, reliable, accurate information. The filter is the bridge between the two.”

If a humanoid robot carries about $28,000 a year in fixed cost, then at $60 contribution per billable hour it breaks even at roughly 467 billable hours per year, or just under 9 hours per week. But if supervision is heavier and contribution drops to $28 per hour, break-even jumps to 1,000 hours per year, or about 19.2 hours per week.

If you value precision, depth, and professional-grade explanations—you’ll find this book indispensable.What if the secret to building truly intelligent robots has been right in front of us all along—hidden in the brains of mammals?For decades, robotics has stumbled on the same problem: machines that can perform tasks, but fail when the world shifts, bends, or surprises them. The solution isn’t another narrow algorithm. It’s a complete rethinking of cognition—modeled on the very systems that evolution has refined for survival, learning, and adaptability.

If you value precision, depth, and professional-grade explanations—you’ll find this book indispensable.What if the key to building more robust autonomous machines lies not in imitating the complexity of the human brain, but in revisiting the ancient simplicity of reptilian cognition?Reptilian Cognitive Architecture for Robotics explores the evolutionary roots of intelligence and translates them into practical frameworks for robotic design.

Not science fiction but a serious scientific exploration of our near future.What happens when robots transcend their roles as tools and assistants to become independent entities, collaborating and thriving in their own societies? Planet of the Robots offers an in-depth, scientific analysis of how robotic civilizations could emerge and evolve, shaping the course of humanity and our world.

Transform your factory from automated to intelligent.The factories that will dominate the next decade aren’t just automated — they’re aware. Machines learn. Robots collaborate. Systems adapt before failure ever happens. This is the evolution of manufacturing intelligence, and this book is your blueprint to master it.

Most books about humanoid robots are written to impress.This one is written for people who have to make them work.There is no hype here. No futurist pep talk. No glossy promises. This is a deployment manual — intentionally dry — because deployment punishes optimism and rewards discipline.Humanoid robots are moving out of demos and into real environments right now: factories, warehouses, logistics sites, healthcare, and service operations. That transition is happening without mature standards, settled regulations, or stable vendor stacks.Organizations are deploying anyway.That is the problem this book solves.This Is a Deployment Book, Not a Robotics Book

If machines are ever going to think, they have to do more than process data — they have to understand it.Integrating Data Fusion and Cognitive Architectures: Volume I – Foundations and Mechanisms is the blueprint for that transformation. It bridges two worlds that have lived apart for decades: the hard mathematics of sensor fusion and the structured reasoning of cognitive science. The result? A unified system that can perceive, reason, and adapt — not someday, but now.

What if the future of robotics wasn’t locked behind proprietary walls—but open, modular, and limitless?Right now, humanoid robotics is at the same stage the personal computer industry was before IBM cracked it wide open with standards. Back then, modularity and interoperability created billion-dollar markets, entire ecosystems of suppliers, and a tidal wave of innovation. The same transformation is about to hit robotics—and those who understand it early will own the future.This book is not theory. It’s a roadmap.

This book is not about clever algorithms. It is about system behavior under compounded complexity.Why interaction breaks roboticsThe moment a robot touches the world, coordinates with others, or shares control with a human, the problem changes.Control becomes regulation. Planning becomes negotiation. Learning becomes fragile.

This is not a beginner’s robotics book. And it is absolutely not for hobbyists.This book was written for engineers, researchers, and advanced practitioners who already understand one hard truth:Robotic systems don’t fail because of missing algorithms — they fail because assumptions go untested.

Robots don’t move by magic. Behind every manipulator, every mobile platform, every aerial or underwater vehicle is a precise mathematical engine: kinematics. If you don’t understand it, you’re guessing. And guessing doesn’t build robots that work.