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Deep Blue AI outlines the division of roles among VLA, WAM, and Harness in embodied systems
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Deep Blue AI published an article outlining the division of roles among VLA, WAM, and Harness in embodied intelligence systems: VLA is responsible for converting observations and goals into actions, WAM uses future state prediction to help with action learning, and Harness organizes subtasks, capability invocation, and execution feedback. The article positions the three as different components within the same system, rather than as mutually substitutable approaches.
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- After VLA and WAM, what role does Harness play in embodied AI systems?
Deep Blue AI published an article outlining the division of labor among VLA, WAM, and Harness in embodied systems: VLA turns observations and goals into actions, WAM uses future-state prediction to aid action learning, and Harness organizes subtasks, capability invocation, and execution feedback.
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