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arXiv Robotics — research abstracts· Haoran Jiang, Yichao Zhong, Kai Zhang, Cheng Liu, Yixuan Pan, Zhenjie Yang, Jingbo Wang, Tianyu Li, Li Chen·· 4 days agoEditorial score65

PingpongDuo: Agile Humanoid Table Tennis Doubles with Safe Team Coordination

PingpongDuo: Agile Humanoid Table Tennis Doubles with Safe Team Coordination

Summary

This paper presents PingpongDuo, a hierarchical framework for agile humanoid doubles table tennis with safe team coordination. The system includes a team-level planner that selects positioning targets and filters risky proposals, and individual-level footwork and striking skills guided by human motion references. In simulation, PingpongDuo improves ball-return success rate by 13.2% over the state-of-the-art baseline, and in real-world experiments, a robot completes a 2.15 m clearance-and-recovery cycle in 2.4 seconds with a peak speed of 2.23 m/s.

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

    13.2%

    View original evidence
    one another to support rapid transitions. A racket-arm residual further refines strikes after movement using return feedback from a simulator calibrated with real ball-flight and contact measurements. In simulation, PingpongDuo improves the ball-return success rate by 13.2% over the state-of-the-art baseline, while achieving approximately 2 cm positioning error during clearance. In real-world experiments, a robot co
    Open source S4
  • positioning error

    ≈2

    View original evidence
    one another to support rapid transitions. A racket-arm residual further refines strikes after movement using return feedback from a simulator calibrated with real ball-flight and contact measurements. In simulation, PingpongDuo improves the ball-return success rate by 13.2% over the state-of-the-art baseline, while achieving approximately 2 cm positioning error during clearance. In real-world experiments, a robot co
    Open source S4
  • clearance-and-recovery cycle length

    2.15

    View original evidence
    mpletes a 2.15 m clearance-and-recovery cycle in 2.4 s with a peak speed of 2.23 m/s, while two robots sustain more than 10 consecutive strikes in strict alternation.
    Open source S5
  • clearance-and-recovery cycle time

    2.4

    View original evidence
    mpletes a 2.15 m clearance-and-recovery cycle in 2.4 s with a peak speed of 2.23 m/s, while two robots sustain more than 10 consecutive strikes in strict alternation.
    Open source S5
  • peak speed

    2.23

    View original evidence
    mpletes a 2.15 m clearance-and-recovery cycle in 2.4 s with a peak speed of 2.23 m/s, while two robots sustain more than 10 consecutive strikes in strict alternation.
    Open source S5
  • consecutive strikes

    >10

    View original evidence
    mpletes a 2.15 m clearance-and-recovery cycle in 2.4 s with a peak speed of 2.23 m/s, while two robots sustain more than 10 consecutive strikes in strict alternation.
    Open source S5

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.

one another to support rapid transitions. A racket-arm residual further refines strikes after movement using return feedback from a simulator calibrated with real ball-flight and contact measurements. In simulation, PingpongDuo improves the ball-return success rate by 13.2% over the state-of-the-art baseline, while achieving approximately 2 cm positioning error during clearance. In real-world experiments, a robot co

Open source S4

mpletes a 2.15 m clearance-and-recovery cycle in 2.4 s with a peak speed of 2.23 m/s, while two robots sustain more than 10 consecutive strikes in strict alternation.

Open source S5

Source:arXiv Robotics — research abstracts · arxiv.org

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