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18-Year-Old Engineer Creates AI-Driven Robotic Hand for Human-Like Interaction

Teen Innovator Builds AI-Powered Robotic Hand

At just 18, Alexander Geppert, the youngest graduate of 2025 from Rutgers University, has developed an AI-driven robotic hand that mirrors human movements in real-time. This breakthrough is poised to transform prosthetics, rehabilitation, and human-robot interaction.

How it Started

Alexander Geppert's journey into artificial intelligence and robotics began during the COVID-19 lockdown, when his curiosity was piqued by Ian Goodfellow's Deep Learning. This interest propelled him to pursue advanced studies in mathematics and computer science, culminating in dual associate degrees before he completed high school. He then enrolled at Rutgers University–New Brunswick as a junior, majoring in computer science and data science.

At Rutgers, under the mentorship of Professor Konstantinos Michmizos in the Computational Brain Lab, Geppert developed an AI-based computer vision system. In real-time, this system employs deep neural networks to recognize human finger movements and control a biomimetic robotic hand.

Alexander Geppert's pioneering work in AI-controlled robotics not only showcases the potential of young innovators but also marks a significant step toward more responsive and adaptive human-machine interfaces.

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