Robohub.org
 

Feel the edges and contours of virtual objects with this haptic system from NHK


by
03 June 2013



share this:
13-0044-r

With the aim of implementing a television service which allows viewers to touch virtual objects, NHK is developing a tactile system which applies stimuli to five points on one finger, making objects feel more real than when using previous systems.

“This device assists people with a visual disability, through what’s called the tactile or kinesthetic sense. It communicates a 3D shape or 2D graph of an object shown on a TV, such as a work of art, as a sensation felt by the hand.”

“The system detects spatial position data for the fingertip in 1/1000 of a second. The finger moves freely if there isn’t anything present, but when it approaches something, it becomes unable to go into the object. By tracing with your finger like this, you can feel that there’s a continuous rough surface there. Also, the jagged feeling of the tooth makes the sensation similar to that of touching an actual object.”

In previous systems, a force was applied to the entire fingertip, and when angular parts of an object were presented, the fingertip tended to deviate from the virtual object, making it hard to understand the object’s shape. But this device makes the corners of an object, in particular, feel natural, by generating a force at five points.

“Now, Domo-kun’s body is one object, while the tooth is another object. The texture can be changed for each object. Here, the tooth alone has been made slightly hard. In that case, if we create a different object using CG, we can do this kind of thing.”

“This is slightly different from a texture that’s actually felt by the skin. For instance, if you hold a pen, you can perceive textures through the pen. This system reproduces that kind of sensation.”

“From now on, we’d like to simplify this device. We want to extend the range of movement of the fingers so that curved surfaces are also recognizable, while keeping the advantages of the current version.”



tags: , ,


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.

            AUAI is supported by:



Subscribe to Robohub newsletter on substack



Related posts :

Humanoid robots can sprint and box – but the real test is doing the laundry

  12 Oct 2026
No robot system can yet reliably handle the whole laundry process. Even folding remains a challenge.

Robot Talk Episode 165 – Robots behind the research, with Kushant Patel

  09 Oct 2026
In the latest episode of the Robot Talk podcast, Claire chatted to Kushant Patel from Brookhaven National Laboratory about robots that work in scientific facilities, such as particle accelerators.

What three days building a robot taught me

and   07 Oct 2026
The brief sounded simple: build a small autonomous robot, then make it survive increasingly difficult mazes. Simple... right? Until you actually have to build one.

Research could guide the future design of social robots

  05 Oct 2026
Giving robot companions animal-like or anime-style faces and voices could maximise their emotional appeal to users, according to new research which could help guide the growing field of social robotics.

Robot Talk Episode 164 – Accelerating robot learning, with Michelle Lu

  02 Oct 2026
In the latest episode of the Robot Talk podcast, Claire chatted to Michelle Lu from Vsim Technology about using simulation and artificial intelligence to teach robots new skills.

Robotics and automation? Informal reflections on familiar terms

IEEE experts reflect on what is meant by the term "robotics and automation".

Small, medium or large, a robotic fish maintains its swimming ability

  28 Sep 2026
Researchers at EPFL and New York University have developed a robotic fish that can be made in various sizes for studying shallow creeks to open water.


↑


AUAI is supported by:







Subscribe to Robohub newsletter on substack




 















©2026.05 - Association for the Understanding of Artificial Intelligence