机器人前瞻 · 微信公众号·· 8 days agoAI score72
Tsinghua and Berkeley open-source embodied agent uni-robot-agent; Qwen3.8-Flash-Next scores above GPT-6 Astra on RoboDojo
Summary
Tsinghua University and UC Berkeley jointly proposed and open-sourced uni-robot-agent, a cross-environment unified embodied agent harness for connecting tool interfaces across different robots and simulation environments. Based on this framework, Qwen3.8-Flash-Next scored 31.39 on the RoboDojo benchmark, exceeding the publicly reported 28.97 for GPT-6 Astra, at about 1/20 of Astra's cost.
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Source: 机器人前瞻 · 微信公众号 · mp.weixin.qq.com