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A robot looks like a single machine, but it behaves like several cooperating systems at once: a chain of links and joints, the actuators that drive them, the sensors that report its state, and the control layer that turns intention into motion. Understand only one of those layers and you can describe a robot; you still cannot predict what the whole machine will do.
That gap is where robotics learning so often stalls. Mechanical design, electrical power, sensing, control theory, and software are usually taught apart, in separate resources with separate notation, so the mathematics stays abstract and the reader cannot actually compute where a robot's hand will be, what torque each joint must supply, or how a controller keeps the motion on course.
This book closes that gap with one coherent, quantitative path through every layer. It begins with the geometry of rigid motion and builds forward, each chapter supplying exactly what the next one needs, until the closing chapters combine every earlier idea into complete application systems. Every important relationship is derived from stated assumptions, every worked example shows its full calculation with units, and every result is checked before it is presented - so you follow not only what is true but why it is true and how it was obtained.
Inside this guide you will:
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