Humanoid robot system for table tennis, Zhejiang University, China

[Airicist]

https://youtu.be/t_qN3dgYGqE

Robot plays table tennis (vs Robot, vs Human)

Uploaded on Oct 13, 2011


A humanoid robot system for table tennis playing developed by Zhejiang University, China was recently reported by Chinese media. The system consists of two humanoid robots. Each robot is 55kg in weight, 160cm in height and has 30 Degrees of freedom. This demo shows a rally between these two robots which last 176 strokes(about 2.5 minutes). This video also shows that one humanoid robot can rally with a human player with various ball speed and can strike the ball using either forehand or backhand.

[Airicist]

https://vimeo.com/73610798

Chinese robots play ping pong
September 2, 2013

[Airicist]

https://youtu.be/zyyakXm4p_4

Published on Mar 12, 2014


The Zhejiang University in Hangzhou, China, presented a ping pong playing robot, named Kong Robot, 1.6 metres tall (5 foot 2) and weighing 55 kg (121 lbs).

Keeping an eye on the ball and using a ping pong bat might be child's play for some humans, but it's a huge advance for machines.

"The robot arms are installed on foundation beds. They have a stable system, while ours are based on humanoid feet, which are unstable, when the arms are moving fast, robots could either fall or function inaccurately.

Thus what we need to solve is balancing of not only the whole body but also the 30 joints all over. At the same time there are only six to seven degree of freedom on robot arms, much less than ours. To sum up, we are facing more challenges on balancing and real-time control."

[Airicist]

https://youtu.be/SesgRYHLv34

Uploaded on Oct 12, 2011


A robot from EE college, Zhejiang University, China. This is our fourth generation of ping pong robot. (also called table tennis robot). It includes a real-time vision system and an intelligent control system. See more information from our published papers: 1 General-Weighted Least-Norm Control for Redundant Manipulators, 2 A lower dimensional task function method for point-to-point control of non-redundant manipulators , 3 A tracking and predicting scheme for ping pong robot.