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arXiv Robotics — research abstracts· Hongcheng Gao, Jianshu Zeng, Alex Zhou, Shijia Ge, Xuan Shangguan, Yazhe Wang, Yexing Wan, Zelin Zheng, Jay Zhu, Xiping Li, Di Wu, Yongli Wang, Lingyu He, Zhiqi Jia, Sihang Wu, Xiao He·· 22 days agoSignalEditorial score75

HexaShell: A Universal Harness for Robot Coding Agents in Simulation and the Real World

HexaShell: A Universal Harness for Robot Coding Agents in Simulation and the Real World

Summary

This paper presents HexaShell, a thin, task-agnostic harness designed to test general tools for robot coding agents.

Source: arXiv Robotics — research abstracts · Read original article ↗

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What the source reports

Publisher-reported claims, with original evidence. These results have not been independently verified by RoboSignal.

Reported numbers

  • Reported success rate

    69.9%

    Reported trials

    View original evidence
    ic input, HexaShell reaches success rates of 69.9% on RoboDojo, 59.3% on RoboCasa365, 78.3% on LIBERO-PRO and 82.2% on RoboTwin 2.0. With task skills, it reaches 85.0% (score 88.8), 85.6%, 96.7% and 96.8%, respectively, above the best published result we are aware of on each benchmark. The RoboCasa365 result is listed first on its leaderboard. On real dual-arm robots, HexaShell succeeds in 76 of 90 episodes across ni
    Open source S5
  • paper: not_reported

What remains unknown

Not established in the collected evidence: Environment, Control, Data origin.

Reported performance applies to the described task. It does not establish general autonomy or deployment readiness.

Source excerpts and review record

Automatically extracted; no manual editorial approval recorded.

ic input, HexaShell reaches success rates of 69.9% on RoboDojo, 59.3% on RoboCasa365, 78.3% on LIBERO-PRO and 82.2% on RoboTwin 2.0. With task skills, it reaches 85.0% (score 88.8), 85.6%, 96.7% and 96.8%, respectively, above the best published result we are aware of on each benchmark. The RoboCasa365 result is listed first on its leaderboard. On real dual-arm robots, HexaShell succeeds in 76 of 90 episodes across ni

Open source S5

Source:arXiv Robotics — research abstracts · arxiv.org

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