Zhihu Frontier(@ZhihuFrontier):Great to see this open-sourced! The harness matters in robotics, too. This Tsinghua–Berkeley work, co-authored by @pabbeel, lifts the same Qwen model’s RoboDojo score from 1.90 to 31.39 without privileged inputs. A compelling case for better tools and feedback in robot agents.

2026.11.05 11:13

Great to see this open-sourced! The harness matters in robotics, too. This Tsinghua–Berkeley work, co-authored by @pabbeel, lifts the same Qwen model’s RoboDojo score from 1.90 to 31.39 without privileged inputs. A compelling case for better tools and feedback in robot agents.

Yuxin Zuo@zuo_yuxin

2026.11.03 15:09

‼️ Can Qwen directly control the robot as well as GPT-6 Astra? 🚀 Introducing uni-robot-agent: a unified harness for Robot-Use Agents (RUAs), a first step toward RUA training and local deployment. We tested uni-robot-agent with Qwen3.8-Flash-Next running locally: 1️⃣ On RoboDojo, its score rose from 1.90 to 31.39, surpassing the RoboDojo Team’s score with GPT-6 Astra. 2️⃣ On real-world tasks, it outscored fine-tuned π0.5 by 5.75 points and zero-shot Dream-1 by 10 points. 🧵 [1/7]