Abstract
The transition from manual to autonomous manufacturing processes, which has been propelled by consecutive industrial revolutions, is concurrently contingent upon advancements in artificial intelligence (AI). AI does have dependency on data, making it incompatible in handling industrial uncertainties. Human cognition, adept at navigating uncertain situations, presents a potential solution. This article aims to illuminate the synergy between human cognition and AI algorithms. It underscores the disparity between AI methods and cognitive requirements in manufacturing and robotics through a survey, also proposes methods to infuse cognition into machines and robots for autonomous learning. It outlines the significance of reinforcement learning as a cognitive algorithm, tracing its evolution and showcasing its application in guiding robots for pick-and-place operations in manufacturing.
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