Robohub.org
 

Calligraphy robot uses a Motion Copy System to reproduce detailed brushwork


by
11 October 2012



share this:
12-0181-r

A research group at Keio University, led by Seiichiro Katsura, has developed the Motion Copy System. This system can identify and store detailed brush strokes, based on information about movement in calligraphy. This enables a robot to faithfully reproduce the detailed brush strokes.

This system stores calligraphy movements by using a brush where the handle and tip are separate. The two parts are connected, with the head as the master system and the tip as the slave system. Characters can be written by handling the device in the same way as an ordinary brush.

Unlike conventional motion capture systems, a feature of this one is, it can record and reproduce the force applied to the brush as well as the sensation when you touch something. Until now, passing on traditional skills has depended on intuition and experience. It’s hoped that this new system will enable skills to be learned more efficiently.

“What’s new is, there’s a motor attached to the brush, so while the person’s moving, the motion and force are recorded as digital data using the motor. What’s more, with this technology, the recorded motion and force can be reproduced anytime, anywhere using the motor.”

“We’ve succeeded in using the motor to record the movements of a veteran calligrapher, and to actually reproduce them. So, I think we’ve demonstrated that, to record and reproduce human skills, it’s necessary to record not just motions, but also how strongly those motions are made.”

Looking at the graph of position and brush pressure, the position of the master system and the motion of the slave system are consistent, and also, the pressure shows the opposite waveform. This shows that the law of action and reaction is being artificially implemented between the master and slave systems.

“Currently, multimedia only uses audiovisual information. But we’d like to bring force, action, and motion into IT, by reproducing this kind of physical force via a network, or storing skills on a hard disk for downloading. So, with this new form of IT, you’d be able to access skill content.”




DigInfo TV is a Tokyo-based online video news platform dedicated to producing original coverage of cutting edge technology, research and products from Japan.
DigInfo TV is a Tokyo-based online video news platform dedicated to producing original coverage of cutting edge technology, research and products from Japan.





Related posts :



Interview with Zahra Ghorrati: developing frameworks for human activity recognition using wearable sensors

and   08 Oct 2025
Zahra tells us more about her research on wearable technology.

Women in robotics you need to know about 2025

  06 Oct 2025
This global list celebrates women's impact across the robotics ecosystem and globe.

Robot Talk Episode 127 – Robots exploring other planets, with Frances Zhu

  03 Oct 2025
In the latest episode of the Robot Talk podcast, Claire chatted to Frances Zhu from the Colorado School of Mines about intelligent robotic systems for space exploration.

Rethinking how robots move: Light and AI drive precise motion in soft robotic arm

  01 Oct 2025
Researchers at Rice University have developed a soft robotic arm capable of performing complex tasks.

RoboCup Logistics League: an interview with Alexander Ferrein, Till Hofmann and Wataru Uemura

and   25 Sep 2025
Find out more about the RoboCup league focused on production logistics and the planning.

Drones and Droids: a co-operative strategy game

  22 Sep 2025
Scottish Association for Marine Science is running a crowdfunding campaign for educational card game.

Call for AAAI educational AI videos

  22 Sep 2025
Submit your contributions by 30 November 2025.



 

Robohub is supported by:




Would you like to learn how to tell impactful stories about your robot or AI system?


scicomm
training the next generation of science communicators in robotics & AI


 












©2025.05 - Association for the Understanding of Artificial Intelligence