Mechatronics Experiments with Machine Vision / by John Billingsley.

Format:

Book

Author/Creator:

Billingsley, John.

Series:

Intelligent Technologies and Robotics Series

Language:

English

Subjects (All):

Mechatronics.

Computational intelligence.

Computational Intelligence.

Local Subjects:

Mechatronics.

Computational Intelligence.

Physical Description:

1 online resource (179 pages)

Edition:

1st ed. 2026.

Place of Publication:

Cham : Springer Nature Switzerland : Imprint: Springer, 2026.

Summary:

This book is an interactive guide that blends hands-on experimentation with modern learning approaches. Instead of traditional instruction, the book presents a series of quests—practical challenges that encourage readers to explore, simulate, and build real-world mechatronic systems. From JavaScript-based simulations to sensor integration and video feedback control, each chapter builds technical skills through discovery and problem-solving. Alongside the technical content, the book reflects on how learning itself is evolving in the age of AI, emphasizing creativity, adaptability, and achievement over rote memorization. Supported by a companion website full of code and examples, this book is ideal for students, educators, and enthusiasts eager to learn by doing.

Contents:

Simulating a Dynamic System

A balancing problem

Design and build

Sensors for consumer devices

Detection of Errors and Faults in Data

Basics of Machine Vision

Precision motor control

A video control loop

2D Control with Vision

Turning Heads

Exploring Bluetooth

Using s-psi for recognition

AI, Love and Hate.

Notes:

Description based on publisher supplied metadata and other sources.

ISBN:

3-032-11218-4

9783032112187

OCLC:

1569639525