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PingpongDuo: Collaborative Table Tennis for Two Unitree G1 Robots

1 reports1 reporting sourcesUpdated 14 days ago

Overview

Report summary

A research team from Shanghai Chuangzhi College, Yuance Future, Hong Kong University, and NVIDIA has developed PingpongDuo, a system that enables two Unitree G1 humanoid robots to perform table tennis doubles. The system combines perception, team coordination, and whole-body motion control, using reinforcement learning for planning and risk assessment. Real-world testing showed improved performance over traditional rule-based strategies, with the robots achieving 18 consecutive alternating returns in a human-robot doubles match.

From QbitAI — Robotics on WeChat

Event evidence and corrections

1 attributed source owners. Ownership does not establish independent confirmation. Quantities are reported separately and are never added together.

Reported quantity · total moving distance: 2.15 other · Basis not reported · Differing source assertions
Supporting report

“实机测试中,一台机器人能在 2.4 秒内完成总移动距离 2.15 米的让位与回位,峰值速度达到 2.23 米/秒。”

Exact source · revision 1

qbitai

Reported quantity · peak speed: 2.23 other · Basis not reported
Supporting report

“实机测试中,一台机器人能在 2.4 秒内完成总移动距离 2.15 米的让位与回位,峰值速度达到 2.23 米/秒。”

Exact source · revision 1

qbitai

Reported quantity · average continuous legal return count: 4.87 other · Basis not reported · Differing source assertions
Supporting report

“在使用相同风险过滤器的条件下,把规则站位换成学习得到的联合站位,仿真中的平均连续合法回球数从3.79次提高到4.87次。”

Exact source · revision 1

qbitai

Reported quantity · total moving distance: 2.15 other · Basis not reported · Differing source assertions
Supporting report

“实机测试中,一台机器人能在 2.4 秒内完成总移动距离 2.15 米的让位与回位,峰值速度达到 2.23 米/秒。”

Exact source · revision 1

qbitai

Reported quantity · average continuous legal return count: 4.87 other · Basis not reported · Differing source assertions
Supporting report

“在使用相同风险过滤器的条件下,把规则站位换成学习得到的联合站位,仿真中的平均连续合法回球数从3.79次提高到4.87次。”

Exact source · revision 1

qbitai

Evidence dependency changes (2)
  • 2026-10-30T22:43:23.054Z · evidence updated · source revision 1. Evidence extraction was updated; current source attributions are shown above.
  • 2026-10-30T22:43:07.587Z · evidence updated · source revision 1. Evidence extraction was updated; current source attributions are shown above.

Report timeline

Follow attributed reports and material updates.

10/17
  1. QbitAI — Robotics on WeChatSignal
    Two Unitree G1 Robots Play Table Tennis Doubles: PingpongDuo Enables Humanoid Team Coordination

    A research team from Shanghai Chuangzhi College, Yuance Future, Hong Kong University, and NVIDIA has developed PingpongDuo, a system that enables two Unitree G1 humanoid robots to perform table tennis doubles. The system combines perception, team coordination, and whole-body motion control, using reinforcement learning for planning and risk assessment. Real-world testing showed improved performance over traditional rule-based strategies, with the robots achieving 18 consecutive alternating returns in a human-robot doubles match.

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