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Robotics Mastery: From Basics to Advanced Simulations MATLAB
Role Play
Rating: 4.1 out of 5(67 ratings)
3,626 students

Robotics Mastery: From Basics to Advanced Simulations MATLAB

Unveiling the Secrets of Robotic Movement: Kinematics, Analysis, and Hands-On Simulation
Role Play
Created byEducational Engineering Team, Educational Engineering, Ashraf Said AlMadhoun
Last updated 2/2026
English
English [Auto],

What you'll learn

  • How to extract the DH parameters for any robot
  • How to Apply Forward kinematics analysis
  • How to Apply Inverse kinematics analysis
  • How to deal with the robotics toolbox in MatLab
  • How to build robotics projects using MatLab
  • learn about MatLab

Course content

4 sections • 22 lectures • 5h 42m total length

  • Introduction to Course6:16

    Learn MATLAB-based analysis and simulation for robotics, covering frame transformation in 2d and 3d, and forward and inverse kinematics for manipulators, with robotics toolbox.

  • Introduction to robotics7:07

    This lecture introduces robotics concepts, describes manipulators with links, joints (revolute and prismatic), end effectors, and base, and covers linear, cylindrical, Cartesian, and articulated robots with their degrees of freedom.

  • Strategy Session – Exploring Robotics Simulation Approaches in MATLAB
  • Transformation Concept10:59

    Explore the transformation concept in robotics, defining frames from base to end effector, and describe position and orientation in 2d and 3d space using origin points and rotational angles.

  • 2D Transformation( Part 1)21:06

    Use 2D transformation matrices to describe frame position and orientation, and transform coordinates between frames and the standard frame using rotation and translation.

  • Quiz
  • 2D Transformation (Part 2)9:07

    Explore 3d transformation matrices by rotating about x axis, y axis, or z axis and applying x, y, z translations in a 4x4 homogeneous matrix that encodes orientation and position.

  • Robotics toolbox installation2:47

    Learn to download and install the robotics toolbox designed by Peter Korg for MATLAB, then run a demo code to verify successful installation and start analysis and simulation.

  • 2D Transformation Lab (Lab1)18:27

    Learn Matlab basics for 2d transformation analysis and simulation, including identity and translation matrices, rotation, plotting frames, axis labeling, and simple animation of frame transformation.

  • 3D transforamtion (Part 1)9:07

    Explore 3D transformation concepts using rotation about x, y, and z axes and construct 4x4 homogeneous transformation matrices that encode orientation, position, and translation along x, y, and z.

  • Quiz
  • 3D Transformation Lab (Lab2)18:04

    Learn MATLAB-based 3D transformation analysis by creating and plotting 4x4 frames, applying 3D rotations and translations, and animating frame-to-frame transformations.

  • 3D Transformation (Part 2)25:52

    Decompose 3D transformations into sequential steps, computing each translation and rotation matrix, then multiply them to obtain the overall transform. Apply inverses for reverse frames and use the right-hand rule.

  • 3D Transformation Lab (Lab3)18:58

    Apply a 3D frame transformation in MATLAB by defining frame zero, one, and two, performing translations and rotations, plotting frames, and animating the transition.

  • DH Parameters(Part 1)21:46

    Master modified denavit-hartenberg parameters and the geometric approach to forward and inverse kinematics. Use four axis moves—translations and rotations along x and z—to relate end effector to the base frame.

  • Quiz
  • DH Parameters(part 2)20:14

    Assign frames to manipulator by designating z axes as joints and x axes perpendicular to adjacent z axes, then fill DH parameter table to compute base to end effector transforms.

  • Forward Kinematics(Part 1)17:47

    Explore forward kinematics and its relation to inverse kinematics, learn to assign frames, fill the parameter table, and compute the end effector's position and orientation.

  • Forward Kinematics(Part 2)13:03

    Solve a three-revolute-joint forward kinematics problem by setting joint axes, filling the transformation parameter table, and deriving the end-effector pose as a function of phi1, phi2, and phi3.

  • Forward Kinematics(Part 3)26:40

    Apply forward kinematics using the classical parameter table to fill the joint parameters for a six-dof manipulator and derive the final forward kinematic matrix, contrasting classical and modified parameters.

  • Quiz
  • Forward Kinematics Lab (Lab4)21:55

    Implement forward kinematics for a six-joint manipulator in MATLAB using DH parameters, distinguish revolute and prismatic joints, and animate joint movements from base to end effector.

  • Inverse Kinematic(Part 1)8:55

    Explore inverse kinematics to derive joint parameters for revolute and prismatic joints from end-effector position and orientation, using geometric methods and sine and cosine laws.

  • Inverse Kinematic(Part 2)8:01

    Learn to compute the inverse kinematics of an R spherical manipulator with RPW joints, deriving theta1, theta2, and d3 from end-effector coordinates x, y, z.

  • Inverse Kinematic(Part 3)18:48

    Learn to solve inverse kinematics for a manipulator by deriving theta1, theta2, and theta3 from end-effector coordinates, using triangle relations, cosine law, and pitch angle.

  • Understanding Transformations and Kinematics in Robotics

Requirements

  • MatLab
  • Willingness to Learn

Description

Robotics is a rapidly advancing field of engineering with wide-reaching implications for many industries. As robotics technology continues to develop and become more accessible, so too does the need for individuals with the skills and knowledge required to benefit from them. One way to acquire these skills is through attending a Robotics Course: Analysis & Simulation course. This course provides an introduction to the fundamentals of computer-aided robotic analysis and simulation, all while offering real-world applications.

It is the study of making machines that can do tasks autonomously. The goal of Robotics is to create machines that can help us out in our everyday lives, whether it's in manufacturing or research. In this course, we will be using simulation to analyze and understand how robots work. Through simulation, we can create models of how a robot behaves and make predictions about its future behavior.

The course is divided into lab and lecture sections, each with a series of videos. The videos range from 5 to 10 minutes in length and cover a wide variety of topics ranging from the basics of kinematics to solving differential equations. The readings are more in-depth on each topic, and the quizzes are designed to test your understanding of the material.

User Testimonials and Social Proof

  • "This course transformed my understanding of robotics. The hands-on simulations made complex concepts easy to grasp." - Emily R.

  • "The practical approach and detailed explanations helped me apply what I learned to real-world projects." - John D.

An Author Bio Showing Off Credentials Educational Engineering Team

Team of skilled Engineers Sharing Knowledge with the World

Educational Engineering Team is a Leading Team in Microcontroller Industry, with over 13 Years of Experience in Teaching and Doing Practical Projects.

We strive to put all our hands-on experience in these courses. Instead of superficial knowledge - we go into the depth of the topic and give you the exact - step by step blueprint on how to tame simple as well as complex topics in easy and digestible bite-sized videos.

This real-world knowledge enables you to grasp knowledge easily, and you can apply this learning immediately to your life and projects.

Educational Engineering Team has been in the Programming and Microcontroller business since 2007. We have been part of many projects. Over the course of these years - we have gained a good insight into students’ and educators’ needs. We are passionate about sharing all our collective knowledge with you. As of 2018, we have already taught over 250k-THOUSAND students and counting.

Currently, we have more than 100+ Courses on Udemy.

Educator and Author of "Educational Engineering"

Ashraf is an educator, Mechatronics engineer, electronics and programming hobbyist, and Maker. He creates online video courses on the EduEng YouTube Channel (More Than 4 Million View, 20k + Subscriber) and author of four Microcontroller books.

As a Chief Educational Engineer since 2007 at Educational Engineering Team, the company he founded, Ashraf’s mission is to explore new trends and technology and help educate the world and make it a better place.

Educational Engineering offers educational courses and Bootcamps, articles, lessons, and online support for electronics hobbyists, Programming hobbyists, Microcontroller hobbyists, STEM students, and STEM teachers.

The team also works as freelancer engineers, helping many students in their graduation projects, and provide guidance and consulting for many students over the years to help them kick-start their career.

Ashraf’s core skill is explaining difficult concepts in a step-by-step, easy-to-understand manner using video and text. With over 11 years of tertiary teaching experience, Ashraf has developed a simple yet comprehensive and informative style in teaching that students from all around the world appreciate.

His passion for Microcontrollers and Programming and in particular for the world of Arduino, PIC Microcontroller, Rasberry Pi has guided his personal development and his work through Educational Engineering.

Ashraf’s online courses have helped over 250,000 people from around the world to be better and to make a great career in the industry.

Educational Engineering Team offer Course on

  • Circuit Design, Simulation, and PCB Fabrication

  • Arduino, PIC Microcontroller, and Raspberry Pi

  • Programming in C, Python, and other programming languages

  • PLC Industrial Programming and Automation

  • 3D Design and Simulation

  • ESP and IoT World

A Single Powerful CTA Enroll Now and master robotics with MATLAB simulations today!

FAQ Section Do I need prior experience with MATLAB to take this course? No, this course is designed for beginners as well as those with some experience in robotics and MATLAB.

What software do I need for this course? You will need MATLAB installed on your computer.

Is there any prerequisite knowledge required? Basic understanding of programming and mathematics is recommended but not required.

What You Will Learn

  • How to extract the DH parameters for any robot

  • How to apply forward kinematics analysis

  • How to apply inverse kinematics analysis

  • How to use the robotics toolbox in MATLAB

Who Is This Course For

  • Students and professionals interested in robotics and automation

  • Engineers and developers looking to enhance their robotics skills

  • Hobbyists and enthusiasts passionate about robotics

  • Anyone interested in learning about advanced simulations in MATLAB

Requirements

  • Basic programming knowledge (recommended but not required)

  • A computer with MATLAB installed

  • Enthusiasm to learn and explore robotics and simulations

Who this course is for:

  • this course is for engineering students
  • this course is for engineering Enthusiast
  • Robotic geeks

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