Computer Vision News 6 by Madi Babaiasl, Bryan MacGavin, Daniel Montes Tolon, Namrata Roy 1 Introduction Up to this point, you should have acquired an understanding of setting up your hardware and software environment and delved into the theoretical aspects of screw theory-based numerical inverse kinematics using the Newton-Raphson iterative method. With the groundwork laid, we are now ready to move forward into the practical implementation phase, where you will begin to apply the vision-aided numerical inverse kinematics control to the robot arm. By the end this lesson, you will be able to implement the numerical inverse kinematics of your robot arm in Python, get feedback from Lessons in Robotics Do you remember awesome Madi Babaiasl, who two years ago promptly taught me about redundancy in Robotics? A really fascinating moment! We asked her to prepare a full lesson for our readers. What she did with three of her students (they are all PhD students and one of them is a soon-to-be professor) is a great "educational" lesson – so complete that we had to divide it in 3 parts. Parts 1 and 2 were published in the March and April issues of Computer Vision News. Here is part 3 of the fist lesson. Vision-aided Screw Theory-based Inverse Kinematics Control of a Robot Arm Using Robot Operating System (ROS2) - Part 3
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