Jose M. Carmena
Duke University, University of California, Berkeley, University of Edinburgh
Papers
17
Total Citations
2,149
H-Index
8
About
Jose M. Carmena is a pioneering neuroscientist and engineer whose work has fundamentally shaped the field of brain-machine interfaces (BMIs) and neuroprosthetics. Best known for his landmark 2003 study, "Learning to Control a Brain–Machine Interface for Reaching and Grasping by Primates" — now cited over 1,780 times — Carmena demonstrated that primates could learn to control a robotic arm through closed-loop neural decoding to perform complex reaching and grasping tasks, a breakthrough that redefined what was possible in neural engineering. His subsequent research expanded this foundation by tackling critical challenges including shared control strategies, stiffness modulation, and kinematically redundant actuator control, making BMI systems more viable for real-world rehabilitation applications. Beyond neuroprosthetics, Carmena's earlier work in biomimetic robotics — including bat-inspired sonar systems — reveals the breadth of his interdisciplinary curiosity. His 2013 review of neuroprosthetic learning and control reflects his role as a synthesizer and thought leader in the field. Across more than two decades, Carmena's research has offered genuine hope to paralyzed individuals by steadily closing the gap between biological neural systems and functional robotic prostheses.
Research Focus
Key Achievements
Top Papers
- 1Learning to Control a Brain–Machine Interface for Reaching and Grasping by Primates1,781 citations · 2003
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- 3Advances in Neuroprosthetic Learning and Control121 citations · 2013
- 4Human–Robot Cognitive Interaction28 citations · 2008
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- 8System Architecture for Stiffness Control in Brain–Machine Interfaces12 citations · 2010
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