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The increasing sophistication of large language models and reinforcement learning is enabling more complex, autonomous robotic systems, driving the convergence of AI agents and physical robotics.

This development indicates a tangible path toward deploying AI agents in the physical world, moving beyond software-only applications to automate physical tasks and industrial processes.

The scope of AI agent applications expands significantly from purely digital workflows to include interactions with physical environments, blurring the lines between software automation and robotics.