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arXiv Robotics — research abstracts· Weikang Wan, Zeyu Lai, Jianyu Hou, Yuchen Zhou, Jiawei Fu, Henrik I Christensen, Hao Su·· 5 days agoEditorial score66

DexFLEX: Contact-Aware Foundation Controller for Command-Guided Dexterity

DexFLEX: Contact-Aware Foundation Controller for Command-Guided Dexterity

Summary

DexFLEX is a contact-aware foundation controller that transforms fingertip motion drafts into contact-consistent joint commands.

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

  • policy-learning success

    3.5

    View original evidence
    3.5 times direct joint-action prediction
    Open source S4
  • policy-learning success

    1.56

    View original evidence
    1.56 times pr
    Open source S4
  • paper: not_reported
  • code: not_reported
  • weights: not_reported
  • dataset: not_reported
Source excerpts and review record

Automatically extracted; no manual editorial approval recorded.

for responsiveness, then decodes the selected motion into executable joint-space targets. Across degraded-command simulation, real-world shared control, and visuomotor policy learning, the same trained controller improves robustness without retraining, increasing real-world teleoperation success from 29.2% to 78.3% and reaching 46.7% policy-learning success, 3.5 times direct joint-action prediction, and 1.56 times pr

Open source S4

Source:arXiv Robotics — research abstracts · arxiv.org

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