Thanks msmcconnell. We must be careful not to fall into the classic boiled-frog trap if “a bit premature” turns out to be “a bit late”. Surely someone reading this urgently needs to become a GAI expert, although I know fine COBAL coders stilling eking out careers.
Generative pre-trained transformers (GPT ), as a fast-evolving technology, is a disruptive picture, not ChatGPT, a mere chatbot. The new robotics paradigm is LWN (large world models) based on multi-modal data (thanks Electric Sheep).
A skill gap is expert GPT prompting and execution of ROS code, rather than more hand-coding wanted. Real time demands will be helped by AI-driven architectural optimization, Moore’s Law next will be expanding performance into optical neural nets, as a dominant QM Computing variant, with semantification as the human-readable basis-
All-optical machine learning using diffractive deep neural networks | Science
Here is a robotic AGI Reference Architecture, not yet fully ROSified, where the original OODA Loop paradigm is exactly your “sense->perceive->plan->act” naming-
