Bristol researchers have created a new 3D-printed fingertip that has a sense of touch like human skin and could help improve prosthetics.
What is the new 3D-printed fingertip?
While machines might be able to beat the world’s best chess players, they lack the ability to pick up a chess piece even as well as a child. This is partly because the artificial grippers on robots do not have the same feel as a human fingertip, and this is used to guide human hands as objects are handled.
However, the new 3D-printed fingertip was able to produce artificial nerve signals that looked like those produced by signals from various human nerve endings, the study found. Eventually, researchers hope to be able to make artificial skin that is just as good as real skin.
How was the 3D-printed fingertip developed?
The new 3D printed fingertip has been developed by researchers from the University of Bristol.
Professor Nathan Lepora, from the University of Bristol’s department of engineering maths and based at the Bristol Robotics Laboratory, said: “Our work helps uncover how the complex internal structure of human skin creates our human sense of touch. This is an exciting development in the field of soft robotics – being able to 3D-print tactile skin could create robots that are more dexterous or significantly improve the performance of prosthetic hands by giving them an in-built sense of touch.”
Creating a sense of touch in 3D-printed fingertip
The researchers created the sense of touch in the artificial fingertip using a 3D-printed mesh of tiny pin-like bumps similar to those found on human tactile skin. The bumps – papillae – are made on 3D-printers that can mix together soft and hard materials to create complicated structures like those found in biology. Prof Lepora said: “We found our 3D-printed tactile fingertip can produce artificial nerve signals that look like recordings from real, tactile neurons. Human tactile nerves transmit signals from various nerve endings called mechanoreceptors, which can signal the pressure and shape of a contact. In our work, we tested our 3D printed artificial fingertip as it ‘felt’ those same ridged shapes and discovered a startlingly close match to the neural data.”