What this book covers

Chapter 1, Robotics 101, will make you understand the basics of our hardware and Python. Using simple LEDs, we will start to make simple programs in Python.

Chapter 2, Using GPIOs as Input, will discuss how to connect various sensors, starting with interfacing a switch through an ultrasonic range finder and finally to a light sensor (LDR) using an analog-to-digital converter. 

Chapter 3, Making a Gardener Robot, will use various sensors, such as a soil humidity sensor, and a temperature sensor to sense the climate, and using a solenoid valve controlled by a relay, we will be making a robot that waters the garden whenever required. 

Chapter 4, Basics of Motors, will discuss the working of motor and how it can be driven by a motor driver, how a full H bridge motor driver works, and also how the speed control mechanism works in the motor driver. While doing all this, we will control a motor and make it move in a different direction at different speeds. 

Chapter 5, Making a Pet Feeding Robot, will teach you how to make a robot that will feed your pet whenever you have programmed it using motors and other sensors. It would also sense if the pet is there or not, and until such time as the pet eats its food, the buzzer will always be left on to make sure that the pet understands that the food is dispensed. Also, using force sensors, we will be able to make out how much food has been eaten. After a sufficient quantity of food has been consumed, the buzzer will be deactivated.

Chapter 6, Bluetooth-Controlled Robotic Car, will teach more about steering and controlling a robotic vehicle, and the concepts of a skid-steer mechanism will be implemented. You will also learn how to use the Bluetooth onboard our Raspberry Pi and connect it to your mobile phone. Finally, using an app, we will control our robotic vehicle using our mobile phone. 

Chapter 7, Sensor Interface for Obstacle Avoidance, will provide an insight into  how we can use IR proximity sensors to determine distances. Also, we will make smart algorithms to sense distance on all sides and then move in the direction where the distance is greatest. 

Chapter 8, Making Your Own Area Scanner, will teach you the basics of servo motors and how they can be controlled. Using servo motor, we will make an area scanner, in other words, a homemade LIDAR. Using this home-built sensor, we would make a self-navigating car. 

Chapter 9, Vision Processing, will teach you how to prepare the Raspberry Pi to capture images using the camera and how processing takes place. 

Chapter 10, Making a Guard Robot, will teach you how to make a vision processing powered system that will be able to recognize faces using insights from the previous chapter. It would then be trained to recognize a specific face and react differently when it recognizes the face familiar to it. Finally, we will make a guard robot that will guard your house; when it recognizes your face, it will let you in. If it recognizes an unknown face, then it will raise an alarm. 

Chapter 11, Basic Switching, will control the equipment at your home with simple logic. Finally, we will make an alarm that will wake you up in the natural way by lights. This will have a smart automatic snooze.

Chapter 12, Recognizing Humans with Jarvis, will teach you how to control devices at your home with a room occupancy sensor that we will build at home using an IR proximity sensor. We will then make this occupancy sensor smart and ready to count the number of people in the room and only switch off the lights or other equipment once no one is left in the room. 

Chapter 13, Making Jarvis IoT Enabled, will provide you with insights into the concepts of IoT and MQTT server through which we will be able to monitor our home based on events. Also, you will learn how to control the devices in our home while sitting anywhere in the world. 

Chapter 14, Giving Voice to Jarvis, will teach you how the system can be made capable of synthesizing speech. Also, you will learn how you can make the system recognize our speech, and based on it, everything in the home can be controlled. 

Chapter 15, Gesture Recognition, will make you identify the gestures made on the board using electric waves, and based on those gestures, the smart home will be controlled. 

Chapter 16, Machine Learning, will make you understand the concepts of machine learning and especially the k-nearest algorithm. Using this algorithm, you will understand how data can be given to the system and predictions can be made based on it . Finally, you will execute a program to generate its own data by the inputs of the users over the course of time, and based on that data, it will start automatically controlling the home without any human intervention.

Chapter 17, Gesture-Controlled Robotic Vehicle, will teach you how to build a robot that will be controlled based on the tilt of your hand. The concepts of accelerometer and gyroscope will be understood and implemented. 

Chapter 18, Making a Robotic Arm, will help you make a robotic hand. You will understand how to set the physical limits of the servos for protection purposes, and we will then make a program in which you will control the robot will be controlled based on different frames. Finally, you will go ahead and understand how to control speed of motion of the robot.