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Learn Robotics Programming
Learn Robotics Programming

Learn Robotics Programming: Build and control AI-enabled autonomous robots using the Raspberry Pi and Python , Second Edition

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Learn Robotics Programming

Chapter 1: Introduction to Robotics

Throughout this book, we will build a robot and create programs for it that give the robot behaviors that make it appear intelligent and able to make decisions. We will write code to use sensors to observe the robot's surroundings and build real-world examples of advanced topics, including vision, speech recognition, and talking.

You will see how the simple build techniques, when combined with a little bit of code, will result in a machine that feels like some kind of pet. You will also see how to debug it when things go wrong, which they will. You'll find out how to give the robot ways to indicate problems back to you, along with selecting the behavior you would like to demonstrate. We will connect a joypad to it, give it voice control, and finally show you how to plan a further robot build.

Before we start building a robot, it's worth spending a little time on what a robot is. We can explore some types of robots, along with basic principles that distinguish robots from other machines. You'll think a little about where the line between robot and non-robot machines is located, and then perhaps muddy that line a little bit with the somewhat fuzzy truth. We will then look at a number of robots built in the hobbyist and amateur robotics scenes.

In this chapter, we will be covering the following topics:

  • What does robot mean?
  • Exploring advanced and impressive robots
  • Discovering robots in the home
  • Exploring robots in industry
  • Competitive, educational, and hobby robots

What does robot mean?

A robot is a machine that makes autonomous decisions based on input from sensors. A software agent is a program that automatically processes input and produces output. Perhaps a robot is best described as an autonomous software agent with sensors and moving outputs, or it could be described as an electromechanical platform with software running on it. Either way, a robot requires electronics, mechanical parts, and code.

The word robot conjures up images of fantastic sci-fi creations, devices with legendary strength and intelligence. These often follow the human body plan, making them an android, a human-like robot. They're often given a personality and behave like a person who is, in some simple way, naïve:

Figure 1.1 – Science fiction and real-world robots. Images used are from the public domain OpenClipArt library

The word robot comes from science fiction (also known as sci-fi). The word is derived from the Czech word for slave and was first used in the 1921 Karel Capek play, Rossum's Universal Robots. The science fiction author Isaac Asimov coined the word robotics as he explored intelligent robot behavior.

Most real robots in our homes and industries are not cutting-edge and eye-catching. Most do not stand on two legs, or indeed any legs at all. Some are on wheels, and some are not mobile but still have moving parts and sensors.

Robots such as modern washing machines, autonomous vacuum cleaners, fully self-regulating boilers, and air sampling fans have infiltrated our homes and are part of everyday life. They aren't threatening and have become just another machine around us. The 3D printer, robot arm, and learning toys are a bit more exciting, though:

Figure 1.2 – The robot, simplified and deconstructed

At their core, robots can all be simplified down to outputs such as a motor, inputs such as a sensor, and a controller for processing or running code. So, a basic robot would look something like this:

  • It has inputs and sensors to measure and sample properties of its environment.
  • It has outputs such as motors, lights, sounds, valves, or heaters to alter its environment.
  • It uses data from its inputs to make autonomous decisions about how it controls its outputs.

Now, we will go ahead and look at some advanced robots in the next section.

Exploring advanced and impressive robots

Now that you have an overview of robots in general, I'll introduce some specific examples that represent the most remarkable robots around, and what they are capable of. Except for the Mars robots, human and animal forms have been favored by these robot makers for their adaptability, contrasting with robots designed for industrial use and intended for single repeated use.

Figure 1.3 shows the similarities between these robots and humans/animals:

Figure 1.3 – A selection of human and animal-like robots. [Image credits: Image 1: This image can be found at https://commons.wikimedia.org/wiki/File:Cog,_1993-2004,_view_2_-_MIT_Museum_-_DSC03737.JPG, and is in the public domain; Image 2: This image can be found at https://commons.wikimedia.org/wiki/File:Honda_ASIMO_(ver._2011)_2011_Tokyo_Motor_Show.jpg, by Morio, under CC BY-SA 3.0, at https://creativecommons.org/licenses/by-sa/3.0/deed.en; Image 3: This image can be found at https://commons.wikimedia.org/wiki/File:Nao_Robot_(Robocup_2016).jpg and is in the public domain; Image 4: This image can be found at https://commons.wikimedia.org/wiki/File:Atlas_from_boston_dynamics.jpg, by https://www.kansascity.com/news/business/technology/917xpi/picture62197987/ALTERNATES/FREE_640/atlas%20from%20boston%20dynamics, under CC BY-SA 4.0, at https://creativecommons.org/licenses/by-sa/4.0/deed.en; Image 5: This image can be found at https://commons.wikimedia.org/wiki/Commons:Licensing#Material_in_the_public_domain and is in the public domain

What these robots have in common is that they try to emulate humans and animals in the following ways:

  1. Robot 1 is Cog from the Massachusetts Institute of Technology. Cog was an attempt to be human-like in its movements and sensors.
  2. Robot 2 is the Honda ASIMO, which walks and talks a little like a human. ASIMO's two cameras perform object avoidance, as well as gestures and face recognition, and have a laser distance sensor to sense the floor. It follows marks on the floor with infrared sensors. ASIMO accepts voice commands in English and Japanese.
  3. Robot 3 is the Nao robot from Softbank Robotics. This cute 58 cm tall robot was designed as a learning and play robot for users to program. It has sensors to detect its motion, including if it is falling, and ultrasonic distance sensors to avoid bumps. Nao uses speakers and a microphone for voice processing. It has multiple cameras to perform similar feats to the ASIMO.
  4. Robot 4 is Atlas from Boston Dynamics. This robot is fast on two legs and has natural-looking movement. It has a laser radar (LIDAR) array, which it uses to sense what is around it so as to plan its movement and avoid collisions.
  5. Robot 5 is the Boston Dynamics BigDog, a four-legged robot, or quadruped. It can walk and run. It's one of the most stable four-legged robots, staying upright when being pushed, shoved, and walking in icy conditions.

You'll add some features like these in the robot you'll build. We'll use distance sensors to avoid obstacles, using ultrasonic sensors in the same way as Nao, and discussing laser distance sensors like ASIMO. We'll explore a camera for visual processing, line sensors to follow marks on the floor, and voice processing to work with spoken commands. We'll build a pan and tilt mechanism for a camera like the head of Cog.

The Mars rovers

The Mars rover robots are designed to work on a different planet, where there is no chance of human intervention if it breaks. They are robust by design. Updated software can only be sent to a Mars rover via a remote link as it is not practical to send up a person with a screen and keyboard. The Mars rover is headless by design:

Figure 1.4 – NASA's Curiosity rover at Glen Etive, Mars (Image Credit: NASA/JPL-Caltech/MSSS; https://mars.nasa.gov/resources/24670/curiosity-at-glen-etive/?site=msl)

Mars rovers depend on wheels instead of legs, since stabilizing a robot on wheels is far simpler than doing it for one that uses legs, and there is less that can go wrong. Each wheel on the Mars rovers has its own motor. The wheels are arranged to provide maximum grip and stability to tackle Mars's rocky terrain and lower gravity.

The Curiosity rover was deposited on Mars with its sensitive camera folded up. After landing, the camera was unfolded and positioned with servo motors. The camera is pointed using a pan and tilt mechanism. It needs to take in as much of the Mars landscape as it can, sending back footage and pictures to NASA for analysis.

Like the Mars robots, the robot you'll build in this book uses motor-driven wheels. Our robot is also designed to run without a keyboard and mouse, being headless by design. As we expand the capabilities of our robot, we'll also use servo motors to drive a pan and tilt mechanism.

Discovering robots in the home

Many robots have already infiltrated our homes. They are overlooked as robots because, at first glance, they appear ordinary and mundane. However, they are more sophisticated than they appear.

The washing machine

Let's start with the washing machine. It is used every day in some homes, with a constant stream of clothes to wash, spin, and dry. But how is this a robot?

Figure 1.5 – Components of a washing machine

Figure 1.5 shows a washing machine as a block diagram. There's a central controller connected to the display with controls to select a program. The lines going out of the controller are outputs. The connections coming into the controller are data from sensors. The dashed lines from outputs to the sensors show a closed loop of output actions in the real world, causing sensor changes. This is feedback, an essential concept in robotics.

The washing machine uses the display and buttons to let the user choose the settings and see the status. After the start button is pressed, the controller checks the door sensor and will sensibly refuse to start if the door is open. Once the door is closed, and the start button is pressed, it will output to lock the door. After this, it uses heaters, valves, and pumps to fill the drum with heated water, using sensor feedback to regulate the water level and temperature.

Each process could be represented by a set of statements like these, which simultaneously fill the drum and keep it heated:

start water pump
turn on the water heater
while water is not filled and water is not hot enough:
  if water filled then
    stop water pump
  if the water is hot enough then
    turn off heater
  else
    turn on the water heater

Note the else there, which is in case the water temperature drops below the correct temperature slightly. The washing machine then starts the drum spinning sequence – slow turns, fast spins, sensing the speed to meet the criteria. It will drain the drum, spin the clothes dry, release the door lock, and stop.

This washing machine is, in every respect, a robot. A washing machine has sensors and outputs to affect its environment. Processing allows it to follow a program and use sensors with feedback to reach and maintain conditions. A washing machine repair person may be more of a roboticist than I.

Other household robots

A gas central heating boiler has sensors, pumps, and valves. The boiler uses feedback mechanisms to maintain the temperature of the house, water flow through heating, gas flow, and ensuring that the pilot light stays lit. The boiler is automatic and has many robot-like features, but it is stationary and could not readily be adapted to other purposes. The same could be said for other home appliances such as smart fans and printers.

Smart fans use sensors to detect room temperature, humidity, and air quality, and then output through the fan speed and heating elements.

Other machines in the home, like a microwave, for example, have only timer-based operation, they do not make decisions, and are too simple to be regarded as robots.

Perhaps the most obvious home robot is a robot vacuum cleaner, as shown in Figure 1.6:

Figure 1.6 – A robotic vacuum cleaner – PicaBot (Image credit: Handitec [Public Domain - https://commons.wikimedia.org/wiki/File:PicaBot.jpg])

This wheeled mobile robot is like the one we will build here, but prettier. They are packed with sensors to detect walls, bag levels, and barrier zones, and avoid collisions. They most represent the type of robot we are looking at. This robot is autonomous, mobile, and could be reprogrammed to different behaviors.

As we build our robot, we will explore how to use its sensors to detect things and react to them, forming the same feedback loops we saw in the washing machine.

Exploring robots in industry

Another place where robots are commonly seen is in industry. The first useful robots were used in factories, and have been there for a long time.

Robot arms

Robot arms range from tiny delicate robots for turning eggs, to colossal monsters moving shipping containers. Robot arms tend to use stepper and servo motors. We will look at servo motors in the pan and tilt mechanism used in this book. Most industrial robot arms (for example, ABB welding robots) follow a predetermined pattern of moves, and do not possess any decision making. However, for a more sensor-based and smart system, take a look at the impressive Baxter from Rethink Robotics in Figure 1.7. Baxter is a collaborative robot designed to work alongside humans:

Figure 1.7 – The Rethink Robotics Baxter Robot (Image credit: Baxter at Innorobo by © Xavier Caré / Wikimedia Commons [CC-BY-SA 4.0 (https://creativecommons.org/licenses/by-sa/4.0)])

Many robot arms are unsafe to work next to and could result in accidents, requiring cages or warning markings around them. Not so with Baxter; it can sense a human and work around or pause for safety. In the preceding image, these sensors are seen around the head. The arm sensors and soft joints also allow Baxter to sense and react to collisions.

Baxter has a training and repeat mechanism for workers to adapt it to a task. It uses sensors to detect joint positions when being trained or playing back motions. Our robot will use encoder sensors to precisely control wheel movements.

Warehouse robots

Another common type of robot used in industry is those that move items around a factory floor or warehouse:

Figure 1.8 – Warehouse robot systems: Stingray system by TGWmechanics [CC BY-SA 3.0 (https://creativecommons.org/licenses/by-sa/3.0)], and Intellicart by Mukeshhrs [public domain]

Figure 1.8 picture 1 shows robotic crane systems for shifting pallets in storage complexes. They receive instructions to move goods within shelving systems.

Smaller item-moving robots, like Intellicart in Figure 1.8 picture 2, employ line sensors, by following lines on the floor, magnetically sensing wires underneath the floor, or by following marker beacons like ASIMO. Our robot will follow lines such as these. These line-following carts frequently use wheels because these are simple to maintain and can form stable platforms.

Competitive, educational, and hobby robots

The most fun robots are those created by amateur robot builders. This is an extremely innovative space.

Robotics always had a home in education, with academic builders using them for learning and experimentation platforms. Many commercial ventures have started in this setting. University robots are often group efforts, with access to hi-tech equipment to create them:

Figure 1.9 – Kismet [Jared C Benedict CC BY-SA 2.5 https://creativecommons.org/licenses/by-sa/2.5] and OhBot [AndroidFountain [CC BY-SA 4.0 (https://creativecommons.org/licenses/by-sa/4.0)]]

Kismet (Figure 1.9 picture 1) was created at MIT in the late 90s. Several hobbyist robots are derived from it. It was groundbreaking at the time, using motors to drive face movements mimicking human expressions. OhBot, a low-priced hobbyist kit using servo motors, is based on Kismet. OhBot (Figure 1.9 picture 2) links with a Raspberry Pi, using voice recognition and camera processing to make a convincing face.

Hobby robotics is strongly linked with the open source software/hardware community, making use of sites such as GitHub (https://github.com) for sharing designs, and code, leading to further ideas. Hobbyist robots can be created from kits available on the internet, with modifications and additions. The kits cover a wide range of complexity, from simple three-wheeled bases to drone kits and hexapods. They come with or without the electronics included. An investigation of kits will be covered in Chapter 6, Building Robot Basics – Wheels, Power, and Wiring. I used a hexapod kit to build SpiderBot (Figure 1.10) to explore the walking motion:

Figure 1.10 – Spiderbot, made by me, based on a kit. The controller is an esp8266 + Adafruit 16 Servo Controller

Skittlebot was my Pi Wars 2018 entry, built using toy hacking, repurposing a remote control excavator toy into a robot platform. Pi Wars is an autonomous robotics challenge for Raspberry Pi-based robots, with both manual and autonomous challenges. There were entries with decorative cases and resourceful engineering. Skittlebot (Figure 1.11) uses three distance sensors to avoid walls, and we will investigate this kind of sensor in Chapter 8, Programming Distance Sensors with Python. Skittlebot uses a camera to find colored objects, as we will see in Chapter 13, Robot Vision – Using a Pi Camera and OpenCV:

Figure 1.11 – Skittlebot – My PiWars 2018 Robot, based on a toy

Some hobbyist robots are built from scratch, using 3D printing, laser cutting, vacuum forming, woodwork, CNC, and other techniques to construct the chassis and parts:

Figure 1.12 – Building ArmBot

I built the robot in Figure 1.12 from scratch, for the London robotics group The Aurorans, in 2009. The robot was known as EeeBot in 2009 since it was intended to be driven by an Eee PC laptop. The Aurorans were a community that met to discuss robotics. The robot was later given a Raspberry Pi, and a robot arm kit (the uArm) seemed to fit, earning it the name ArmBot.

In the current market, there are many chassis kits, and a beginner will not need to measure and cut materials in this way to make a functioning robot. These are built to experiment on, and to inspire other robot builders and kids to code. Toward the end of the book, we will cover some of the communities where robots are being built and shared, along with starting points on using construction techniques to make them from scratch.

The television series Robot Wars is a well-known competitive robot event with impressive construction and engineering skills. There is no autonomous behavior in Robot Wars, though; they are manually driven like remote control cars. Washing machines, although less exciting, are smarter, so they could be more strictly considered robots.

Summary

In this chapter, we have looked at what the word robot means, and the facts and fiction associated with robots. We have defined what a real robot is. You have seen what a machine needs to do in order to be considered a robot.

We've investigated the robots seen in the home and in industry. You've been shown some designed to amaze or travel to other planets. We've also looked at hobbyist and education robots, and how some of these are just built for fun. You've seen some block diagrams of real-world devices that may not have been considered robots. You've also spotted how our homes may already have several robots present.

I hope this chapter has you thinking about what earns the title of robot. A washing machine can be fully automatic, starting at some time later, following a program, with some advanced machines saving water by detecting the quality of the water coming out from the clothes as a metric for how clean they are. A machine called a robot, however, could be simply a remote-controlled device, such as telepresence robots or Robot Wars robots. Undoubtedly, all have sophisticated engineering, requiring many similar skills to make them.

While some robots are clearly robots, such as the Honda ASIMO and Baxter, some others are far harder to draw the line at. If the broad concept of a decision-making, electro-mechanical machine fits these cases, it would exclude the remote-controlled type. If the concept of machines that are mobile is applied, then a toy RC car would be included, while a fully autonomous smart machine that is stationary is excluded. A machine could be made to look robot-like with anthropic (human-like) characteristics, but simply being mechanical, moving an arm up and down – is this a robot? It isn't running a program or reacting to an environment.

Now that we have explored what robots are, let's move on to the next chapter, in which we'll look at how to plan a robot so we can build it.

Assessment

Look around your home. There will be other automatic machines with many of the features of robots in them. Take a common household machine (other than a washing machine), and look at its inputs and outputs. Use these to make a diagram showing them going in or out of a controller. Think about how they move if they move around the house.

Consider further what feedback loops may be present in this system. What is it monitoring? How is it responding to that information?

Further reading

Refer to the following links:

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Key benefits

  • Get up to speed with the fundamentals of robotic programming and build intelligent robots
  • Learn how to program a voice agent to control and interact with your robot's behavior
  • Enable your robot to see its environment and avoid barriers using sensors

Description

We live in an age where the most complex or repetitive tasks are automated. Smart robots have the potential to revolutionize how we perform all kinds of tasks with high accuracy and efficiency. With this second edition of Learn Robotics Programming, you'll see how a combination of the Raspberry Pi and Python can be a great starting point for robot programming. The book starts by introducing you to the basic structure of a robot and shows you how to design, build, and program it. As you make your way through the book, you'll add different outputs and sensors, learn robot building skills, and write code to add autonomous behavior using sensors and a camera. You'll also be able to upgrade your robot with Wi-Fi connectivity to control it using a smartphone. Finally, you'll understand how you can apply the skills that you've learned to visualize, lay out, build, and code your future robot building projects. By the end of this book, you'll have built an interesting robot that can perform basic artificial intelligence operations and be well versed in programming robots and creating complex robotics projects using what you've learned.

Who is this book for?

This second edition of Learn Robotics Programming is for programmers, developers, and robotics enthusiasts who want to develop a fully functional robot and leverage AI to build interactive robots. Basic knowledge of the Python programming language will help you understand the concepts covered in this robot programming book more effectively.

What you will learn

  • Leverage the features of the Raspberry Pi OS
  • Discover how to configure a Raspberry Pi to build an AI-enabled robot
  • Interface motors and sensors with a Raspberry Pi
  • Code your robot to develop engaging and intelligent robot behavior
  • Explore AI behavior such as speech recognition and visual processing
  • Find out how you can control AI robots with a mobile phone over Wi-Fi
  • Understand how to choose the right parts and assemble your robot

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Length: 602 pages
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Table of Contents

24 Chapters
Section 1: The Basics – Preparing for Robotics Chevron down icon Chevron up icon
Chapter 1: Introduction to Robotics Chevron down icon Chevron up icon
Chapter 2: Exploring Robot Building Blocks – Code and Electronics Chevron down icon Chevron up icon
Chapter 3: Exploring the Raspberry Pi Chevron down icon Chevron up icon
Chapter 4: Preparing a Headless Raspberry Pi for a Robot Chevron down icon Chevron up icon
Chapter 5: Backing Up the Code with Git and SD Card Copies Chevron down icon Chevron up icon
Section 2: Building an Autonomous Robot – Connecting Sensors and Motors to a Raspberry Pi Chevron down icon Chevron up icon
Chapter 6: Building Robot Basics – Wheels, Power, and Wiring Chevron down icon Chevron up icon
Chapter 7: Drive and Turn – Moving Motors with Python Chevron down icon Chevron up icon
Chapter 8: Programming Distance Sensors with Python Chevron down icon Chevron up icon
Chapter 9: Programming RGB Strips in Python Chevron down icon Chevron up icon
Chapter 10: Using Python to Control Servo Motors Chevron down icon Chevron up icon
Chapter 11: Programming Encoders with Python Chevron down icon Chevron up icon
Chapter 12: IMU Programming with Python Chevron down icon Chevron up icon
Section 3: Hearing and Seeing – Giving a Robot Intelligent Sensors Chevron down icon Chevron up icon
Chapter 13: Robot Vision – Using a Pi Camera and OpenCV Chevron down icon Chevron up icon
Chapter 14: Line-Following with a Camera in Python Chevron down icon Chevron up icon
Chapter 15: Voice Communication with a Robot Using Mycroft Chevron down icon Chevron up icon
Chapter 16: Diving Deeper with the IMU Chevron down icon Chevron up icon
Chapter 17: Controlling the Robot with a Phone and Python Chevron down icon Chevron up icon
Section 4: Taking Robotics Further Chevron down icon Chevron up icon
Chapter 18: Taking Your Robot Programming Skills Further Chevron down icon Chevron up icon
Chapter 19: Planning Your Next Robot Project – Putting It All Together Chevron down icon Chevron up icon
Other Books You May Enjoy Chevron down icon Chevron up icon

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Sebastián Viviani Feb 14, 2021
Full star icon Full star icon Full star icon Full star icon Full star icon 5
The book covers a lot of the basic topics, with a very educational and hands on approach. It is well structured, and the different subjects are built on each other, nicely linking on each chapter.It does not go too deep in any of the concepts, so it won't make it as a reference book. But to be fair, it covers so many areas that will make impossible to have all the detailed info in one place.It's definitely written for enthusiastic people willing to build their first robot, no matter how much experience you have (or not) in electronics.Although for an electronic geek it might be a bit shallow, it's a great option for going back to the basics and get fun with your children. I passed to my older son, who started reading it, and I am helping him to build his first robot project. It's a great chance for sharing some time and develop their interest in science!
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katrina Feb 09, 2021
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This book starts by clearly explaining robotics concepts, and goes on through adding movement and sensors, to communication. It's all based on the Raspberry Pi so the parts list will be affordable for most. I'm now following this author to see what else he comes up with. Definitely recommend this book.
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Anders May 18, 2021
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This is a very useful book for robotics lovers, even for beginners.The author introduces different kinds of robots, actuators, sensors, hw/sw blocks that are useful in a robot, for beginners; and the method of building a robot with Raspberry Pi step by step.Detailed hw and sw configurations to control robot motors and sensors with python from easier level to difficult level are included. Practical experiments of obstacle avoidance, color displaying, servomotor control, etc. are also included. Challenging experiments, i.e. robot vision sensors, voice communication with robot, remote control, are also provided.Besides, robotics related theories, like PID feedback control theory, color RGB theory, OO programming skills (codes in GitHub), IMU.All in all, this is a book of very inclusive and deep analysis of robotics.
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Gilby Sep 12, 2021
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In August I bought three basic stuff: 1 Raspberry pi 4 and 2 books. One book to learn Python and then this book to learn robotic programming. What a combination!!!! This book is fantastic. English is not my first language, and this book is writing in a very direct and easy way to understand what it is being explained, it is easy to follow. I have read almost one third of the book and I have learned how to communicate my laptop to my raspberry in wireless way, program everything on laptop and then transfer everything through wifi to the raspberry. Even Github, I didn't know what it was and this book help me to understand what is that for providing a basic introduction. And the most incredible and have been building from nothing a robot, it is still basic and I can't stop, I just want to advance next each chapter. If needed, on the editor website you will find all the programs from each chapter for the robot programming. You just need to register to their website to get access to them.
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Amazon Customer May 17, 2021
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This is a very good and easy to read book. It has a very hands-on approach to robotics and it's oriented at sparking that creative drive to build and learn by doing.I think this could be greatly enjoyed by young people and would be a good introduction book for those interested in robotics. I got the digital print but I think it's worth having in your shelf! I recommend it.
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A subscription provides you with full access to view all Packt and licnesed content online, this includes exclusive access to Early Access titles. Depending on the tier chosen you can also earn credits and discounts to use for owning content

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To cancel your subscription with us simply go to the account page - found in the top right of the page or at https://subscription.packtpub.com/my-account/subscription - From here you will see the ‘cancel subscription’ button in the grey box with your subscription information in.

What are credits? Chevron down icon Chevron up icon

Credits can be earned from reading 40 section of any title within the payment cycle - a month starting from the day of subscription payment. You also earn a Credit every month if you subscribe to our annual or 18 month plans. Credits can be used to buy books DRM free, the same way that you would pay for a book. Your credits can be found in the subscription homepage - subscription.packtpub.com - clicking on ‘the my’ library dropdown and selecting ‘credits’.

What happens if an Early Access Course is cancelled? Chevron down icon Chevron up icon

Projects are rarely cancelled, but sometimes it's unavoidable. If an Early Access course is cancelled or excessively delayed, you can exchange your purchase for another course. For further details, please contact us here.

Where can I send feedback about an Early Access title? Chevron down icon Chevron up icon

If you have any feedback about the product you're reading, or Early Access in general, then please fill out a contact form here and we'll make sure the feedback gets to the right team. 

Can I download the code files for Early Access titles? Chevron down icon Chevron up icon

We try to ensure that all books in Early Access have code available to use, download, and fork on GitHub. This helps us be more agile in the development of the book, and helps keep the often changing code base of new versions and new technologies as up to date as possible. Unfortunately, however, there will be rare cases when it is not possible for us to have downloadable code samples available until publication.

When we publish the book, the code files will also be available to download from the Packt website.

How accurate is the publication date? Chevron down icon Chevron up icon

The publication date is as accurate as we can be at any point in the project. Unfortunately, delays can happen. Often those delays are out of our control, such as changes to the technology code base or delays in the tech release. We do our best to give you an accurate estimate of the publication date at any given time, and as more chapters are delivered, the more accurate the delivery date will become.

How will I know when new chapters are ready? Chevron down icon Chevron up icon

We'll let you know every time there has been an update to a course that you've bought in Early Access. You'll get an email to let you know there has been a new chapter, or a change to a previous chapter. The new chapters are automatically added to your account, so you can also check back there any time you're ready and download or read them online.

I am a Packt subscriber, do I get Early Access? Chevron down icon Chevron up icon

Yes, all Early Access content is fully available through your subscription. You will need to have a paid for or active trial subscription in order to access all titles.

How is Early Access delivered? Chevron down icon Chevron up icon

Early Access is currently only available as a PDF or through our online reader. As we make changes or add new chapters, the files in your Packt account will be updated so you can download them again or view them online immediately.

How do I buy Early Access content? Chevron down icon Chevron up icon

Early Access is a way of us getting our content to you quicker, but the method of buying the Early Access course is still the same. Just find the course you want to buy, go through the check-out steps, and you’ll get a confirmation email from us with information and a link to the relevant Early Access courses.

What is Early Access? Chevron down icon Chevron up icon

Keeping up to date with the latest technology is difficult; new versions, new frameworks, new techniques. This feature gives you a head-start to our content, as it's being created. With Early Access you'll receive each chapter as it's written, and get regular updates throughout the product's development, as well as the final course as soon as it's ready.We created Early Access as a means of giving you the information you need, as soon as it's available. As we go through the process of developing a course, 99% of it can be ready but we can't publish until that last 1% falls in to place. Early Access helps to unlock the potential of our content early, to help you start your learning when you need it most. You not only get access to every chapter as it's delivered, edited, and updated, but you'll also get the finalized, DRM-free product to download in any format you want when it's published. As a member of Packt, you'll also be eligible for our exclusive offers, including a free course every day, and discounts on new and popular titles.