Mahonri Owen
Papers
2
Total Citations
12
H-Index
2
About
Mahonri Owen is a leading researcher at the intersection of neural engineering, robotics, and human-machine interaction. His work focuses on developing intuitive control systems for prosthetic limbs and robotic hands, leveraging advanced computational models to restore function and enhance quality of life for individuals with limb amputation. Owen's most influential contribution is the FaNeuRobot framework, which integrates the NeuCube spiking neural network with finite automata theory to create a brain-machine interface for prosthetic control—a foundational work cited 8 times. More recently, he pioneered the use of Lightmyography signals combined with Transformer architectures for multi-grasp classification, achieving 4 citations and demonstrating a novel, non-invasive approach to muscle-machine interfaces. This work addresses the critical need for intuitive, immersive control of smart prosthetics and robots. Owen’s research is notable for bridging theoretical neuroscience with practical, real-world applications, offering a path toward more natural and adaptive assistive technologies. His contributions are shaping the future of bionic limbs and robotic hands, making him a key figure in the field of neural prosthetics.
Research Focus
Key Achievements
Top Papers
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- 2