Segra-Meraz Noel
Papers
2
Total Citations
16
H-Index
2
About
Noel Segra-Meraz is a pioneering researcher in the field of human-robot interaction and wearable robotics, with a focus on how the brain can adapt to control extra limbs. His key research areas include somatosensory feedback, body representation, and the use of vestigial muscles for intuitive device control. In his most cited works (2017, each with 8 citations), Segra-Meraz explored how an extra robotic thumb can be operated using vestigial muscles—muscles that have lost their original function through evolution—and how the brain can acquire a new body representation to treat the device as part of the self. His major contribution lies in addressing the challenge of coordinating multiple degrees of freedom in robotic prosthetics and wearables, proposing that sensory feedback and neural adaptation can make these devices feel like natural extensions of the body. This work has significant implications for the design of more intuitive and effective assistive technologies. Segra-Meraz’s research is notable for bridging neuroscience and engineering, offering a pathway to enhance the operability and user acceptance of wearable robotic limbs.
Research Focus
Key Achievements
Top Papers
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