New Technology Mimics Human Skin for Prosthetics and Human-Robot Interactions

📆 10/29/2023 7:03 PM
📰 TerraceStandard

⏱ Reading Time:
24 sec. here
9 min. at publisher
📊 Quality Score:
News: 37%
Publisher: 68%

Sensitivity News

Technology,Technology,Prosthetics

A new technology developed in British Columbia is revolutionizing the capabilities of prosthetics and human-robot interactions. The invention, called sensor skin, is a thin layer of silicone rubber filled with sensory points that enable delicate tasks. It can be placed over the fingertips of a prosthetic hand, allowing users to hold fragile objects. The skin's dexterity and sensitivity have the potential to greatly improve the lives of prosthetic limb users and enhance the safety of human-robot relationships.

A new B.C.-developed technology is mimicking human skin and expanding the possibilities for people with prosthetics as well as human-robot interactions.

Its creators say the dexterity and sensitivity of the skin could be a game changer for people who use prosthetic limbs and for increasing the safety of relationships between robots and humans. Made primarily of silicone rubber, the skin is similar to what is used for special effects in movies. It can buckle and wrinkle, giving it a realistic appearance, and is soft like human skin too. It can also be scaled up easily to cover far larger areas than just a hand.

Write Comment

We have summarized this news so that you can read it quickly. If you are interested in the news, you can read the full text here. Read more:

Technology Technology Latest News, Technology Technology Headlines

Similar News:You can also read news stories similar to this one that we have collected from other news sources.

AI Technology Used to Differentiate Salmon Species in B.C. WaterwaysAI technology developed in partnership with conservation groups, Simon Fraser University, and First Nations on B.C.'s North and Central coast is being used to accurately count and differentiate species of salmon in B.C. waterways. The computer vision deep learning model, known as 'Salmon Vision', has shown about 90% accuracy in detecting coho and 80% accuracy for sockeye after reviewing over 500,000 video frames.
Source: CBCNews - 🏆 2. / 99 Read more »