Canadian scientists have created an artificial intelligence-powered prosthetic hand that autonomously recognizes objects and selects optimal grasping methods without user intervention.
G. Ostrov
Researchers at Memorial University of Newfoundland in Canada have unveiled groundbreaking technology in the field of bionic prosthetics — an artificial hand with built-in artificial intelligence capable of autonomously interacting with surrounding objects.
Operating Principle of the Innovative Prosthetic
Unlike traditional bionic prosthetics controlled by muscle contractions through specialized sensors, the new device operates completely autonomously. A built-in camera analyzes objects in real-time while a neural network makes decisions about grip type and required grasping force.
Users simply need to bring the prosthetic near the desired object — the artificial intelligence automatically determines the optimal interaction strategy. This differs radically from existing solutions that require extensive training and significant physical effort.
System Training and Accuracy
The artificial intelligence model was trained on an extensive database of video interactions between the prototype and various objects: bottles, fruits, sports equipment, and other everyday items.
Testing results are impressive — the system demonstrates 95% grasping accuracy, including work with objects that weren't encountered during the training process. Such versatility opens broad prospects for practical application.
Technology Development Prospects
According to research co-author Xianta Jiang, this technology can make prosthetic use intuitive and natural. Users will be able to perform daily activities — lifting cups, opening doors, picking up various objects — without needing to focus on each movement.
This development represents a significant step forward in rehabilitation technologies and could dramatically improve the quality of life for people with amputated limbs.
More information about the research can be found on the official website of Memorial University of Newfoundland.
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