Hardware22h ago
The Evolution Of Robotic Learning
Roboticists historically traded sci-fi ambitions for narrow industrial applications, refining arms for auto plants instead of building humanoid assistants. This gap between dream and delivery persisted for decades. Now, MIT Tech Review examines how new learning paradigms bridge this divide. Practitioners can expect a shift from rigid programming toward more flexible, adaptive machine behavior.