Exploration of an innovative system that uses AI to transform text prompts or images into physical machine designs, shortening prototyping timelines. This chapter delves into training robots with human action data to perform tasks like food prep and cleaning, highlighting the potential of AI in creating personalized machines and enhancing human capabilities.
The convergence of AI and robotics will unlock a wonderful new world of possibilities in everyday life, says robotics and AI pioneer Daniela Rus. Diving into the way machines think, she reveals how "liquid networks" — a revolutionary class of AI that mimics the neural processes of simple organisms — could help intelligent machines process information more efficiently and give rise to "physical intelligence" that will enable AI to operate beyond digital confines and engage dynamically in the real world.