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ENPIRE enables coding agents to autonomously achieve a 99% success rate in complex real-world manipulation tasks, transforming robotics research from a human-dependent endeavor to a scalable, automated process.
Decentralized task allocation can be both efficient and computationally cheaper than centralized approaches, even with limited communication and uncertain task completion.
