7 Computer Vision News Vision-aided Screw Theory-based… up your hardware and software to make everything ready to implement the vision-aided inverse kinematics control of the robot arm in the following lessons. Note that you do not need to have the exact hardware and the proposed method can work on any ROS2-controlled robot arm and it is not contingent on the specific hardware used. 1.1 Objectives of the Lesson Series By the end of these lesson series, participants will be able to: ➢ Understand the fundamental concepts of screw theory and its application in robotic numerical inverse kinematics. ➢ Set up and configure the robot arm and its vision kit for ROS2 and RViz. ➢ Implement numerical inverse kinematics solutions using Python and the ROS2 framework to control the robotic arm. ➢ Integrate and utilize a vision system with ROS2 to enable object detection and manipulation tasks. ➢ Troubleshoot common issues related to vision-aided robotic control and apply best practices for system optimization. ➢ Recognize the limitations of traditional perception methods and the potential of deep learning techniques for enhancing robotic vision. 1.2 Implementations by Two Groups of Students Two student teams have successfully applied the concepts outlined in these lesson series, with their implementations showcased in the video below.
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