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• MagicLab's EchoPolicy-0 agent framework tops AI2's MolmoSpaces zero-shot robot manipulation leaderboard

  Chinese robotics company MagicLab says its VLM agent framework EchoPolicy-0 ranks first on the MolmoSpaces Combined leaderboard, the Allen Institute for AI's zero-shot embodied AI benchmark, with a 75.4% average success rate across all four v1 manipulation tasks over 3,915 episodes. Its 3.4B-parameter MagicBrain framework ranks fourth at 72.4% and first on the Pick and Pick & Place tasks, with a 94.4% pick success rate. EchoPolicy-0 has a VLM choose among several candidate trajectories proposed by an action model and verifies the result after execution, while MagicBrain marks targets visually in the VLA's observations. The rankings are the company's figures as of October 13.

  Statement by MagicLabPublished newsOct 13Source: MagicLab (魔法原子)Part of MagicLab EchoPolicy-0

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