Robotics 101 - How do robots avoid collisions? | Branched Homogeneous Transforms | Robotics 101

In this video, we deal with the issue of detecting collisions between mobile robots. This is done using branched Homogeneous Transformations by writing out the forward kinematics (FK) of the robots. We solve the example by performing calculations using MATLAB. The entire process of detecting collisions is really simple (and intuitive) once you get the hang of it. ▼▼▼ If you would like to learn how to use MATLAB from scratch or just want to refresh your MATLAB skills, here's my YT playlist on that https://www.youtube.com/playlist?list=PL1YrgW7ROFoeqfNLpMYP9S6rufOnlQVdW ⏩ Watch the next video where we do Inverse Kinematics : https://youtu.be/1-FJhmey7vk 🌟 If you haven't watched the previous video, I would recommend watching it first since this video builds on concepts from the last video: https://youtu.be/zg5sS9LZGAM ------ This video is part of the Robotics 101 tutorial series which covers kinematics and modeling of 2D & 3D robots. This tutorial lesson series starts from the basics of robotics (assuming no prior knowledge) and gradually builds on in bite-sized videos of 10 minutes or less. By following along, you will soon become extremely good in the kinematics and modeling aspects of robots. And these will help you to design and build robots. Here's what we will cover in this video series: 1. Co-ordinate Transformation for 2D & 3D robots 2. Homogeneous Transformations for 2D & 3D robots 3. Forward Kinematics 4. Inverse Kinematics 5. Robotic wrists (end-effector) 6. End-effector Velocities and Jacobians 7. Singularities of robots 8. Gimbal Locks 9. Forces & Torques I will be uploading 1 video per week. If you find these helpful, don't forget to share and subscribe! _____________________________ 👉 Link to the Robotics 101 playlist https://youtube.com/playlist?list=PL1YrgW7ROFofBqPGiWAmTqIwDc5SrzZrA Robotics 101 - Robotics full course for beginners - Kinematics and Modeling #roboticsforbeginners #roboticsTutorials #robotics #learnrobotics#homogenoustransformationmatrices