Breakthrough AI Enables Seamless Control of Prosthetic Hands

In Brief

• University of Utah researchers developed an AI “co-pilot” that enhances prosthetic hand control.
• The system processes sensor data to autonomously adjust grip force and finger movements.
• The breakthrough reflects broader advances in AI learning and integration in human life.

Shedrach Kongvong 2025-12-12

The control of prosthetic hands has been a major challenge for amputees for years, but that is about to be over. Scientists at the University of Utah have built an AI co-pilot specifically to help with the control of bionic hands to improve quality of life.

The new AI research published on 9 December details how the integration of proximity and pressure sensors in prosthetic hands can help to improve grasping without crushing things or letting them slip. This precision which is encoded in human feedback mechanisms is missing in existing prosthetic hands.

AI Restoring Faith in Prosthetics

Amputees have over the years had to deal with prosthetic hands that in many cases, they end up abandoning due to their lack of practicality. Jake George, an electrical and computer engineer at the University of Utah said most amputees abandon their artificial hands because they are difficult to control.

To fix this problem, George and his team came up with an AI bionic hand co-pilot that helps with the control, giving the hands autonomy so they can grab and move things with precision, just like a normal human hand which works with automatic reflexes in agreement with the central nervous system.

The team of researchers began by replacing the fingertips of an existing prosthetic hand with silicone-wrapped pressure and proximity sensors. With that, the hand could detect when it was close to an object and could measure how much force it required to grab the object without breaking it or letting it slip.

The team also built an AI controller that processes the information gathered by the sensors and moves the joints accordingly to adjust the force of the grip. With several such back and forth movements, the team was able to collect sufficient data to train the AI on recognizing different objects and switch between different grip types with precise control of each finger, giving users control over their artificial hands.

AI Integration in Human Life on the Increase

AI was initially used for many things outside of direct human life, but its application is on a rapid increase because of their ability to evolve. A recent study has revealed that AI has the ability to learn values just like children, making them capable of becoming better at anything.

It is this type of learning that enables the technology to become more precise, such as in predicting pedestrian behavior with such accuracy that is unprecedented, and is why amputees can now use bionic hands with much precision again.