Learning-augmented robotic automation for real-world manufacturing

ArXi:2604.22235v1 Announce Type: cross Industrial robots are widely used in manufacturing, yet most manipulation still depends on fixed waypoint scripts that are brittle to environmental changes. Learning-based control offers a adaptive alternative, but it remains unclear whether such methods, still mostly confined to laboratory nstrations, can sustain hours of reliable operation, deliver consistent quality, and behave safely around people on a live production line.