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A unified framework for robot autonomy that blends theory with hands-on practice, making it essential for anyone looking to innovate in autonomous systems.
Naively scaling test-time compute is wasteful; strategically allocating it with DIRECT can enhance embodied agent performance while slashing latency by up to 65%.
