
This lecture describes the overview of the complete course along the functionality of the robot
The lecture covers the gathering of complete hardware and software requirements to build all the projects included in the course
The lecture covers the step by step process to design the structure of the robot using acrylic plastic
This lecture describe how the design the leg part of the robot using servo motor, servo brackets and other accessories
The circuit diagram shows how to design the leg of the robot using four servo motors. Two on the left side and the other two on the right hand side and its connection to the GPIO pins of the Raspberry Pi.
In this lecture you will clearly understand how to design the upper body part along with the head part of the robot
The video lecture describe how to design the complete structure of the robot using acrylic plastic and servo motors.
Here you will learn how to code the robot to walk in forward direction by controlling the servo motors
This is the continuation of the coding for the first part which teaches how to make the robot walk by controlling the movement of the servo motors
The lecture contains the complete source code in Python format
This is the real time demonstration of the project where robot is controlled using Python programming
This lecture describes the concept behind the ultrasonic sensor and how to connect it with the GPIO pins of the Raspberry Pi
The circuit diagram shows how to connect the ultrasonic sensor to the GPIO pins of the Raspberry Pi to measure the distance between the object and the obstacle.
In this lecture you will learn how to program the ultrasonic sensor and measure the distance from the obstacle in centimeters
The lecture contains the complete source code of the obstacle detection in Python format
This video demonstrates the output of the distance measurement between the obstacle and the sensor
This lecture describe how to connect the webcam with the Raspberry Pi and access it using fswebcam
The circuit diagram shows how you can connect the USB webcam to the Raspberry Pi and capture images using fswebcam library and Python programming.
Here here will learn how to control the webcam and take multiple snapshot using Python program
The lecture contains the complete source code in Python format
In this video you will learn how to access webcam via Python programming and take multiple snapshots using Python programming
Humanoid Robotics using Raspberry Pi 3 is an advanced course for those who want to explore in depth in the field of physical computing and Robotics. The course requires basic knowledge of Python programming, Linux commands and obviously, your interest in Robotics.
In this course, you will learn how to build your own walking Robot from the ground up. This robot will also have obstacle detection feature and will also capture the images of the obstacle.
In the first part of this course, I will walk you through the hardware and software requirements so that you can have everything ready with you before working on the project.
In the second part, I will teach you how to design the Robot so that it looks like a human. Servo motors will be responsible for the movement of the Robot and we will use some of the sensors to perform different tasks such as obstacle detection and capturing images.
Once we are done with the designing part I will be guiding you to write the Robot walking program in python. This section will also include obstacle detection where a green LED will keep glowing while the Robot walks and if any obstacle is found in front of the Robot then a red LED will glow indicating that an obstacle is found.
One USB webcam will be attached on the head of the Robot so that it can also be able to capture the images.
I will guide you step by step how to go about building these projects. I will also share the source code with you so that you can replicate the project by yourself.
I look forward to you joining this course.