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RoboHarness: Simple Robot Harness Lets LLM Agents Outperform VLA and World Action Models on BEHAVIOR Challenge 2025

An arXiv paper presents RoboHarness, a robot harness that gives LLM agents a visual-geometric control panel so they can directly understand and invoke embodied tasks. The authors argue that coding agents have the potential to achieve generalist embodied manipulation without the route of large-scale VLA training. Experiments show that, with RoboHarness, Qwen3.8-Flash-Next outperforms state-of-the-art VLA models on BEHAVIOR Challenge 2025 tasks, and the implementation is open source.

Part of the event: RoboHarness lets LLM agents surpass VLA models in the BEHAVIOR Challenge

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