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SUMMARY:University of Maryland Baltimore ICTR (UMB ICTR) Enrichment Series
DESCRIPTION:University of Maryland Baltimore ICTR (UMB ICTR) Enrichment Series \nSynergy-Based Brain-Machine Interfaces in Human-Robot Interaction \nSpeaker:\nDr. Ramana K. Vinjamuri\nAssociate Professor of Computer Science and Electrical Engineering\, UMBC\nDirector\, ICTR Informatics Core\nUMBC Cybersecurity\, Machine Learning\, and Artificial Intelligence Research Services \n \nHuman- machine interfaces (HMIs) have emerged as promising technologies to restore lost limb function. They involve two key design elements: decoding human intent and controlling a machine to execute it. Despite decades of research\, challenges such as complexity\, adaptability\, and variability remain. Overcoming these requires a computational understanding of human sensorimotor control.\nRecent advances in HMIs rely on bioinspired models that are experimentally validated and used in adaptive\, intuitive control. The human hand\, with its high dimensionality\, exemplifies these challenges and offers an ideal validation platform. How the central nervous system (CNS) manages this complexity remains an open question.\nOne promising model suggests the CNS uses synergies—coordinated groups of motor units—instead of individual control. Yet\, key questions remain: Where are synergies located in the CNS\, and what roles do they play in motor control and learning?\nThis research aims to combine human motor control\, computational neuroscience\, and machine learning with noninvasive experiments to answer these questions and enable seamless\, natural HMIs based on biomimetic principles.
URL:https://ictr.johnshopkins.edu/event/university-of-maryland-baltimore-ictr-umb-ictr-enrichment-series-13/
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