I’m working on a project where we need to integrate AI capabilities with our existing legacy robotics systems. The goal is to enhance their performance and adaptability without replacing the entire setup. Has anyone successfully done this before? What are the best practices and potential pitfalls to watch out for? and More
Any advice or shared experiences would be greatly appreciated!

moderators note : removed hidden link

 

I’m working on a project where we need to integrate AI capabilities with our existing legacy robotics systems. The goal is to enhance their performance and adaptability without replacing the entire setup. Has anyone successfully done this before? What are the best practices and potential pitfalls to watch out for? and More
Any advice or shared experiences would be greatly appreciated!

moderators note : removed hidden link

IMHO there is no point in attempting such an enterprise. The old hardware will be a drag on performance assuming it can even run an AI application. There is no guarantee that the legacy system will have anywhere near the amount of main memory you need or secondary storage to implement a virtual memory. You will be leaps and bounds ahead by integrating your legacy system with a modern AI platform.

If you try to do this on the cheap you will be kicking yourself for wasting the time and the money.

 

what kind of robotic system? there is a big difference between roomba and an industrial robot. from what i see AI is simply learning from trial and error and it needs vast data sets. not sure how can one add constraints to not get destroyed in process. for example press transfer robots are moving parts from one press to another and need to do so very fast and not get turned into kitchen foil.

 

In addition to the points presented by P.M., there is also the probability that the computer portion of the robot control system will not be adequate to run the AI software at a useful speed. Besides that, it is not likely that an applicable training data set for robotic application is even available.

 

So really, the best path will be to carefully examine what the software is doing and understand it quite well. AI is a learning scheme and my experience with industrial robots is that, at least in pres loading and unloading, the environment is totally unforgiving. And in industrial machines in general, it is much better to have a human understanding the process instead of trying to learn the process, based on what others have done.