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Bio
His research interests include iterative learning and repetitive control theory and their experimental application to industrial systems and biomedical engineering. He has led the engineering component on large UK government funded grants which have developed a range of upper limb systems using robotic and Functional Electrical Stimulation (FES) technology that have each been trialled clinically with stroke patients. In this area his current focus is on biomechanics, motor learning and control, non-contact sensing, electrode-array based FES, and touch-table technology.
Research Interests
Papers共 300 篇Author StatisticsCo-AuthorSimilar Experts
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Xiaoru Sun,Chris T. Freeman
CoRR (2023)
2023 AMERICAN CONTROL CONFERENCE, ACCpp.3859-3864, (2023)
Frontiers in big data (2023): 1335213-1335213
FRONTIERS IN BIG DATA (2023)
Trialsno. 1 (2023): 1-14
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