AI Summary Industrial autonomy is shifting from a focus on robotic motor skills to a broader capability set that includes machine awareness, dynamic decision-making, multi-vehicle coordination, and large-scale spatial precision—with perception as the critical bottleneck for scaling these systems. For procurement managers and engineers, this means that investments in advanced sensors (e.g., 3D vision, LiDAR, and high-resolution encoders) and edge-computing PLCs or drives are no longer optional add-ons but core enablers for future-proofing autonomous operations. When specifying new robots or automation cells, prioritize perception hardware and software integration early, as it directly dictates system scalability, safety, and return on investment in multi-vehicle or high-mix environments.