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Author: Danny Staple

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Build smart, AI-powered robots with Raspberry Pi and Python through hands-on projects, from rovers to intelligent autonomous systems Key Features • Boost your Python skills with practical examples to program complex robot behaviors and functionalities • Build a robotics learning and exploration platform • Leverage AI neural network models for voice recognition and synthesis, and OpenCV for computer vision Learn Robotics Programming, Third Edition, addresses a common challenge for developers, hobbyists, and newcomers: turning robotics ideas into building and programming real, functional robots. While many resources focus either on theory or isolated components, it can be difficult to bring together hardware, software, and intelligent behavior into a working robotic system. This book provides a structured, hands-on path to designing and building robots using Raspberry Pi and Python. You’ll start by assembling a mobile robot and setting up its core systems, then progressively add capabilities such as motor control, sensor integration, and remote operation through web interfaces. As you advance, you’ll implement vision and voice features using OpenCV and ML voice models and explore intelligent behaviors, including localisation and sensor fusion, to help your robot navigate and respond to its environment. By the end of the book, you’ll have built a fully functional robot and developed the skills to design, program, and extend your own robotic systems. Whether you are getting started or already have programming experience, you’ll learn how to combine hardware and software into cohesive solutions and apply practical techniques for creating responsive, intelligent robots. Who this book is for This robotics book is ideal for programmers, developers, and robotics enthusiasts with at least beginner coding skills who are eager to design, build, and program cutting-edge robots using autonomous robot algorithms along with AI models…

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Whole-book reading guide from stratified index samples; jump to passages in the text

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【One-Line Pitch】 A hands-on guide that takes you from a bare Raspberry Pi to a working, AI-capable mobile robot, teaching you to wire hardware and write Python that actually drives, senses, and thinks. Best for programmers and hobbyists with beginner coding skills who want one coherent project instead of scattered tutorials. 【Book Arc】 - **Opening (~0%–10%)**: Frames the core problem — most resources teach theory or isolated parts, not a whole robot — and maps the build: assemble a mobile base, then layer on control, sensing, and intelligence. - **Early (~10%–35%)**: Covers robot building blocks (controllers, breakouts, motors, GPIO/I2C buses) and gets you to a headless Raspberry Pi you can SSH into, manage with Git, and deploy to via PyInfra. - **Middle (~35%–55%)**: Brings the robot to life — testing and steering motors, adding an MQTT service for control, driving from a phone, and reading distance sensors (optical vs. ultrasonic) with NumPy and a Chart.js web view. - **Late (~55%–85%)**: Adds intelligence — OpenCV vision, ML voice recognition and synthesis, plus localisation and sensor fusion so the robot can navigate and respond to its environment. - **Ending (~85%–100%)**: Consolidates skills with guidance on planning your next robot — purpose, block diagrams, part selection, layered code planning, and data-flow design. 【Key Takeaways】 - **The book's spine is one continuous build, not a parts catalog** (Opening): each chapter adds a capability to the same robot, so hardware and software stay connected. - **Headless operation is treated as a first-class skill** (Early): SSH, remote command execution, and safe poweroff are framed as the practical way to work with a robot that has no keyboard or screen. - **Deployment discipline matters as much as coding** (Early): Git protects robot code, and PyInfra's idempotent deploys mean updates only change what actually differs — faster, repeatable setups. - **MQTT decouples control from the robot** (Middle): motors are driven through a message-based service, which is what makes phone control and later remote behaviors possible. - **Sensor choice is a real engineering trade-off** (Middle): optical and ultrasonic distance sensing are compared by principle (pulse timing) and by practical fit, not just listed. - **Data pipelines bridge robot and browser** (Middle): raw sensor arrays are clipped, normalized, and mapped into coordinates before Chart.js can display them — a reusable pattern for any telemetry UI. - **AI features are integrated, not bolted on** (Late): OpenCV vision and ML voice models are presented as capabilities of the same robot, alongside localisation and sensor fusion. - **Finishing the robot is the start, not the end** (Ending): the final chapter turns the build into a repeatable design process — purpose, diagrams, part constraints, layered code. 【Reading Tips】 - **Deep-read the Early setup chapters** (headless Pi, Git, PyInfra). Skipping them makes every later chapter harder; the deployment workflow pays off repeatedly. - **Skim the hardware-selection debates** (steering types, breakout integration levels, four- vs. six-wheel drive) on a first pass, then return when you actually buy parts. - **Keep the robot powered and reachable while reading the Middle chapters** — motor tests, MQTT, and sensor code are meant to be run, not just read. - **Treat troubleshooting sections as required reading**, not appendices; they encode the failure modes you will actually hit. - **For the AI chapters, focus on the integration pattern** (how vision/voice feed into behavior) rather than expecting deep model theory. 【Coverage Limits】 This guide is based on stratified excerpts covering the front matter, table of contents, and early-to-middle chapters; the Late AI chapters (vision, voice, localisation) and the final planning chapter are represented mainly through the book's own overview and TOC entries, so specific implementation details there are not covered.
Excerpt 1
ting responsive, intelligent robots. Who this book is for This robotics book is ideal for programmers, developers, and robotics enthusiasts with at least beg...
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Excerpt 2
they may also chew through batteries or complex gearchains. You are also increasing the likelihood of overloading something, and the additional motors can me...
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Excerpt 3
most of the common problems, and be able to sync code this way. Chapter 4 102 Challenges You can try these to deepen your understanding: 1. Make a change to...
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Excerpt 4
packages=["vl53l5cx-ctypes"], virtualenv=robot_venv, ) We are installing vl53l5cx‑ctypes, a Pimoroni library created to interact with the device from Python....
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e will cover the following topics: • What are servo motors? • Positioning a servo motor with Raspberry Pi • Controlling servo motors via MQTT • Attaching the...
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Excerpt 6
ng topics: • Representing and displaying the robot as poses • Modeling a test area • Moving poses with encoders • Localisation debugging tools • Refining pos...
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Excerpt 7
owered off before starting this section. Physical placement The orientation of the IMU isidx_e28dadd8 essential for the experiments with it to make sense, an...
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Excerpt 8
e on our robot: 1. Open the deploy/deploy_vision.py file. 2. In the imports, we need to add the files operation: from pyinfra.operations import apt, files 3....
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Tags
AI categories
RoboticsPythonRaspberry Pi
ISBN: 1803246987
Publisher: Packt Publishing
Publish Year: 2026
Language: English
Pages: 740
File Format: PDF
File Size: 12.9 MB
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