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RoboHarness lets LLM agents surpass VLA models in the BEHAVIOR Challenge
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An arXiv paper proposes RoboHarness, a robotics harness that provides LLM agents with a visual-geometric control panel, enabling them to directly understand and invoke embodied tasks. The authors claim that, with RoboHarness, Qwen3.8-Flash-Next surpasses the current state-of-the-art VLA models on BEHAVIOR Challenge 2025 tasks, and the implementation has been open-sourced. The authors argue that coding agents have the potential to achieve general-purpose embodied manipulation without taking the route of large-scale VLA training.
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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.
arXiv cs.RO ·