Shape memory alloy to create a prosthetic finger

Robotic arms are now a reality in manufacturing plant, as well as in hospital (for surgery). Their "hand" does not resemble a human hand at all. It is specialised to perform certain task. 
There are also experimental robotic hands (see the clip) mimicking a human hand. Although researchers have been able to achieve very accurate movements (and in turns these require sensors to detect pressure and position) the hand is complex to operate and it is bulky since movements need actuators that are based on motors.
Now researchers at Florida Atlantic University (FAU) using shape memory alloy materials, 3D scanning technology and 3D printers have been able to create a prosthetic finger that is as light as a human finger and can move without the use of motors.  
Shape Memory Alloy, SMA, are composite materials that can change their shape under a stimulus (electrical or thermic) and then go back to the original shape once the stimulus disappears. In this case the researchers have used a 3D printer to create two layers of SMA in the shape of a finger (using as blueprint the 3D scanning of a real finger).  By using an electrical current they heat the SMA and makes it change its shape resulting in the bending of the finger. The more heat is generated the greater the bending. Hence it is possibile to make the finger assume any position.
It is clearly just a prototype but it clearly show and alternative to the use of motors, something that is impractical in a prosthetic.

About Roberto Saracco

Roberto Saracco fell in love with technology and its implications long time ago. His background is in math and computer science. Until April 2017 he led the EIT Digital Italian Node and then was head of the Industrial Doctoral School of EIT Digital up to September 2018. Previously, up to December 2011 he was the Director of the Telecom Italia Future Centre in Venice, looking at the interplay of technology evolution, economics and society. At the turn of the century he led a World Bank-Infodev project to stimulate entrepreneurship in Latin America. He is a senior member of IEEE where he leads the New Initiative Committee and co-chairs the Digital Reality Initiative. He is a member of the IEEE in 2050 Ad Hoc Committee. He teaches a Master course on Technology Forecasting and Market impact at the University of Trento. He has published over 100 papers in journals and magazines and 14 books.