As of Oct 13, 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 what it reports as a 75.4% average success rate across all four v1 manipulation tasks over 3,915 episodes.
MagicLab said this on Oct 13, 2026; not an official company announcement (source: qbitai.com).
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.
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