Recent content by orbitleah

For Reinforcement Learning, it helps to think in terms of inputs, constraints, verification, and iteration. One important area is future improvements. Define what a good result looks like before changing tools or settings, then test one variable at a time so you can tell what actually improved...

A practical understanding of Industrial Robots starts with knowing what the system does well, where it is unreliable, and how to validate the result. One important area is collaboration. Define what a good result looks like before changing tools or settings, then test one variable at a time so...