{"id":10597,"date":"2025-12-05T17:15:24","date_gmt":"2025-12-05T17:15:24","guid":{"rendered":"https:\/\/ecm.eng.auburn.edu\/wp\/emag\/?p=10597"},"modified":"2025-12-09T15:36:56","modified_gmt":"2025-12-09T15:36:56","slug":"mechanical-assistant-professor-earns-nsf-career-award-for-telerehabilitation-research","status":"publish","type":"post","link":"https:\/\/ecm.eng.auburn.edu\/wp\/emag\/?p=10597","title":{"rendered":"Mechanical: Assistant professor earns NSF CAREER Award for telerehabilitation research"},"content":{"rendered":"
\"\"
Brendon Allen<\/figcaption><\/figure>\n

Brendon Allen has some exoskeletons in his closet, and the National Science Foundation (NSF) wants to learn more about them.<\/span><\/p>\n

The NSF recently awarded the assistant professor in the Department of Mechanical Engineering a five-year $588,408 NSF CAREER Award. <\/span><\/p>\n

Allen aims to increase access to rehabilitation for individuals with movement disorders through a deep learning control framework for home-based hybrid exoskeletons.<\/span><\/p>\n

\u201cThese devices combine functional electrical stimulation (FES) with actuated robots to provide personalized therapy,\u201d Allen said. \u201cShifting the computational demand from individual homes to clinicians\u2019 offices can, I believe, reduce the cost of telerehabilitation significantly.\u201d<\/span><\/p>\n

According to Allen, communication delays between the clinician\u2019s computer and the exoskeleton can exacerbate the device\u2019s inherently uncertain and nonlinear dynamics.<\/span><\/p>\n

\u201cThose delays,\u201d Allen said, \u201cequal destabilization.\u201d<\/span><\/p>\n

Allen feels that destabilization can be drastically decreased utilizing novel delay compensation and deep neural network\u2013based methods to enable the remote control of the exoskeleton.<\/span><\/p>\n

\u201cSuccessful completion of this project could transform the rehabilitation industry,\u201d Allen said. \u201cNot only will it make rehabilitation more accessible and affordable, but the control developments in this work will also improve centralized network control systems, impacting fields such as manufacturing, power grid automation, reconnaissance and search and rescue operations.”<\/span><\/p>\n

<\/div>\n","protected":false},"excerpt":{"rendered":"

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