Automation of hand chamfering prism
HiIm new to this forum and would like to ask for some opinion and discussion regarding the Automation of hand chamfering prism solution. I includes the photos and dimensions with some explanation of the set up. So far my understanding to approach the problem with classical robotics methods consists of the robot uses a vision system to scan the chamfering tool diameter and the prism to determine just how round or
out-of-round the tool and prism are . After gathering this information, the robot arm traces the exact contour of the camfering tool using a tooling to hold the sponge. Another robot arm grasp the prism and a laser displacement sensor does a 360-degree check to verify the position of the prism. This is sort of closed-loop concept but would appreciate if any discussion or help to improve the system or add additional components. Another option would be using machine learning/reinforcement learning to control the robot arm and for example can be use also a Stochastic Gradient Descent that affect the learning rate taking into account the minimizing the distance to the target as a function of the angle. Any other idea or methodology how to approach the problem in a better way and how can be done more efficiently? Thanks