PingpongRobot · Perceive · Predict · Return

AI Table Tennis Rally Robot System

Designed for indoor entertainment, training and science engagement. The system tracks the ball, predicts its bounce and strike position, and controls the paddle to make an intelligent return.

Zhengmai PingpongRobot — AI Table Tennis Rally Robot System

A millisecond closed loop from perception to return

Sensing, prediction, planning, servo execution and 3D visualization cooperate over a real-time industrial control network.

01

Stereo high-speed vision

In-house stable tracking at ~250 FPS.

02

Trajectory prediction

Up to 250 prediction updates per second.

03

Linear parallel robot

Approx. 2.5 m/s end speed; full travel within 0.40 s.

04

2-DOF servo paddle

About 0.12 s for a 90° action, with programmable strategies.

View specifications

Stereo high-speed vision
~250 FPS
Trajectory prediction
≤ 250/s
Linear parallel robot
≈ 2.5 m/s · ≤ 0.40 s
2-DOF servo paddle
90° · ≈ 0.12 s
75%+ official algorithm return rate
75%+ · ≈ 3.5 m/s
Core technology and architecture
A real-time industrial network, CAN servo control, stereo vision, 3D reconstruction, online prediction and a lightweight parallel actuator form one closed loop.
Stay open
Vision, actuator and 3D simulation interfaces support secondary development and OTA updates.
Pmax
3 kW
m
≈ 350 kg

Physical robot and digital twin

2-DOF servo paddle

2-DOF servo paddle

About 0.12 s for a 90° action, with programmable strategies.

Stereo high-speed vision

Stereo high-speed vision

In-house stable tracking at ~250 FPS.

REAL SYSTEM · FIELD DEPLOYMENT

Real system. Real rallies. Real deployments.

Every photo and video below comes from physical testing or field deployment, showing high-speed vision, 3D trajectory prediction and the Linear Delta mechanism operating together in real space.

Robot vs. ball machine test
Zhengmai PingpongRobot — AI Table Tennis Rally Robot System
AI Table Tennis Rally Robot System
Zhengmai PingpongRobot — AI Table Tennis Rally Robot System
AI Table Tennis Rally Robot System