A technical survey finds that reliable physical AI depends on co-designing learned world models, uncertainty representation, ...

Model predictive control (MPC) has emerged as a versatile and high-performance methodology for the regulation of power electronic converters and motor drives. At its core, MPC employs an explicit ...

A new hierarchical AI framework called WIS pairs a language-driven world model with a diffusion policy, letting bimanual ...