Hello,
For a new project, I am evaluating several solutions for robotic part picking. The parts will mainly be metallic, with dimensions ranging from 5 to 200 mm. The parts will be presented (one by one) on a flat surface with a random orientation. The number of different part types is currently undetermined but will likely reach several hundred.
I haven't kept up with technological advancements in this field for some time. I am aware that there have been significant improvements with AI-based solutions, even for such needs. Before reaching out to solution providers, I want to first assess various approaches.
A few years ago, I worked with a solution that combined a vibrating feeder and a 2D vision system to position the part correctly and calculate the gripping point for the robot. This type of system works very well but requires a fixed camera and a backlit (or non-backlit) vibrating system.
I see that nowadays there are more solutions involving a camera mounted on a cobot, using ambient or front lighting. Do you have experience with this type of system? What is the achievable gripping precision? Is it possible to work with an unlimited number of part types, with a program that loads quickly according to the part to be detected?
Is a fixed 2D or 3D vision system above the surface presenting the parts still a better solution in terms of gripping accuracy?