Miscellaneous

This video demonstrates how a Barrett WAM arm uses our mixture of motor primitives (MoMP) algorithm to learn successful hitting movements in table tennis using imitation and reinforcement Learning.

Click to expand...

A Japanese made table tennis robot, with Kasumi Ishikawa

Click to expand...

After learning new software and programming languages, Stanford students in the Artificial Intelligence Laboratory have an opportunity to choose a creative task and design a robot to perform the task for demonstration. The tasks call for a wide range of fundamental skills, but generally require the robot to sense where it is in space, detect objects around it, and then autonomously interact with those objects in its environment. Recent projects include pingpong, the Japanese cup-and-ball game, Kendama, and a landing pad that helps a quad-copter touch down safely.

Click to expand...

The Table Tennis Revolution is here with the likeable realistic looking robot.
The latest tool to promote the great game of table tennis is finally here and exclusive to Table Tennis World.
Talk to Paul Pinkewich on the latest update with this fabulous machinery.
Remote control device makes this a gem for the person who has everything in table tennis.
Contact Paul for a demonstration at your club or school.

Click to expand...

Since we couldn't afford to buy the professional one...we decided to make our own.

Cost
$20 for the servos
$3 Trashbin
FREE parts (microcontroller, dc motor, acrylic, oatmeal container...)

Click to expand...

The ETH High Speed Robot Playing Ping Pong

ETH Zurich, Prof. Gerhard Schweitzer
Institut fur Robotik, 1988–1994

Click to expand...

Joshua Hanlon talks with Justin Carter about his awesome LEGO ping pong robot at Brickworld Fort Wayne 2015.

Click to expand...

The record breaking robot that teaches humans how to play table tennis.

Click to expand...

We present a table tennis robot system using a KUKA AGILUS KR 6 R900 sixx robot with six axis. The robot is able to return the ball consistently and play a rally with a human lasting up to 50 strokes.

Click to expand...

In a real table tennis environment, our KUKA Agilus KR6 R900 robot arm has to respond to different spin types. The rotation of the ball is derived from the ball's trajectory. In our paper, we evaluate two additional methods for spin detection.

Click to expand...

Could we bring out the hidden charms of sports by combining the draw of Sony’s designs with the strength of its technologies? That was the question that gave rise to the Sports & AI Project. In this article, project members take us behind the scenes to discuss the events behind the effort—a collaborative initiative that made a big splash with broadcast professionals when the project was revealed at CES 2020.

Click to expand...

A table tennis-playing robot can play a fair part in a rally against humans – but like many amateur players, struggles when attempting fancier shots.

Yapeng Gao, Jonas Tebbe and Andreas Zell at the Eberhard Karls University Tübingen, Germany trained a machine learning algorithm to learn how to play table tennis. That algorithm then sent signals to a robot that allowed it to accurately play shots to within an average of 24.9 centimetres of the intended location.

Click to expand...

Working on TenniRobo, we often communicate with many extraordinary people who are happy to share their knowledge. Quite recently, we were lucky to get to know a very interesting person, whose story may impress you as well. So we’d like to share it - please read the full desciption in our blog tennirobo.com/blog/one-of-the-first-programmable-table-tennis-robots-breakthrough-of-the-90s
The information was kindly provided by Waqidi Falicoff - entrepreneur, professor, and inventor.

Click to expand...

The table tennis demo below demonstrates that the upgraded haptic device can also perform complex tasks involving quick motions. The racket must swiftly be positioned in the right place in line with the incoming ball. At the moment of impact (when hitting the ball), it must move with sufficient speed and in the correct direction. The table tennis demo would not have succeeded were the haptic device ever so slightly heavy or if there was a delay in transmitting the size and direction of the force from the human’s movement to the robot.

Click to expand...

This video illustrates the new ball launcher AIMY that has been introduced in "AIMY: An Open-source Table Tennis Ball Launcher for Versatile and High-fidelity Trajectory Generation" by Alexander Dittrich et al.

Click to expand...