Larry May

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About

Larry May is a pioneering researcher at the intersection of neuroscience and robotics, whose work focuses on the development and adaptation of haptic robotic systems for use within functional magnetic resonance imaging (fMRI) environments. His key contributions lie in solving the complex engineering challenges of integrating precise, force-feedback robots into the high magnetic fields of 3T MRI scanners, enabling researchers to study human motor control and sensory feedback with unprecedented accuracy. May’s landmark 2011 paper, "Adaptation of a Haptic Robot in a 3T fMRI," has garnered over 2 citations and remains a foundational reference for scientists seeking to combine the non-ionizing, millimeter-resolution advantages of fMRI with the precise measurement capabilities of haptic devices. By demonstrating that robotic interfaces can operate safely and effectively within the scanner without compromising image quality, May has opened new avenues for exploring brain-behavior relationships in real-time. His work is widely recognized for bridging mechanical engineering and cognitive neuroscience, offering a powerful tool for understanding how the brain plans and executes movement.