Designing autonomous systems that reliably perceive, decide, and act introduces unique hurdles: managing unpredictable environments, ensuring safety, and aligning complex goals. These agent engineering challenges are tackled by AI developers and robotics engineers to build robust assistants. Ultimately, end-users and enterprises benefit from more trustworthy, adaptive automation.
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