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Join EY Campus Recruiters as they cover the fundamentals of resume writing. We ensure that you will step away from the session with more knowledge on how you can enhance your resume to stand out during the application process.\u00a0", "occurrence_notes":null, "guid":"130630-21866461@events.umich.edu", "permalink":"http:\/\/events.umich.edu\/event\/130630", "building_id":"", "building_name":"", "campus_maps_id":"", "room":"", "location_name":"", "has_livestream":0, "cost":"", "tags":[], "website":"", "sponsors":[ { "group_name":"University Career Center UCC", "group_id":"1140", "website":"http:\/\/careercenter.umich.edu" } ], "image_url":"", "styled_images":{ "event_thumb":"", "event_large":"", "event_large_2x":"", "event_large_lightbox":"", "group_thumb":"", "group_thumb_square":"", "group_large":"", "group_large_lightbox":"", "event_large_crop":"", "event_list":"", "event_list_2x":"", "event_grid":"", "event_grid_2x":"", "event_feature_large":"", "event_feature_thumb":"" }, "occurrence_count":1, "first_occurrence":21866461 } , "130389-21865939": { "datetime_modified":"20250103T100449", "datetime_start":"20250109T140000", "datetime_end":"20250109T160000", "has_end_time":1, "date_start":"2025-01-09", "date_end":"2025-01-09", "time_start":"14:00:00", "time_end":"16:00:00", "time_zone":"America\/Detroit", "event_title":"Understanding Motor Control for Assistive Technologies: From Biomechanics to Brain-Machine Interfaces", "occurrence_title":"", "combined_title":"Understanding Motor Control for Assistive Technologies: From Biomechanics to Brain-Machine Interfaces: Robotics PhD Defense, Luis Cubillos", "event_subtitle":"Robotics PhD Defense, Luis Cubillos", "event_type":"Presentation", "event_type_id":"16", "description":"Co-chairs: Cynthia Chestek and Chandramouli Krishnan\r\n\r\nAbstract:\r\nMillions of people in the world suffer from disorders that affect their motor control, including conditions like spinal cord injuries, strokes, and neurodegenerative diseases. These impairments can drastically reduce their mobility and independence, creating a need for advanced assistive technologies. This defense addresses these challenges by exploring how humans move and learn new motor skills, and how these insights may inform better assistive technologies, especially through brain-machine interfaces.\r\n\r\nWe first focus on the biomechanics of the ankle joint, studying the reliability of its stiffness, viscosity, and inertia while standing and walking. The results show that stiffness and viscosity can be reliably estimated and may be valuable as a clinical metric as well as a goal for biomimetic prosthetic control. \r\n\r\nThen, we show the development of a new open-source web application for motor learning experiment design and show its validation for replicating previous studies, as well as for investigating how motor learning is transferred between limbs. Our results show that even short periods of rest can greatly improve motor skill learning as well as the existence of interlimb transfer learning.\r\n\r\nFinally, we apply these insights in the context of brain-machine interfaces, assistive devices that have helped restore motor and speech control by decoding signals from the brain. We evaluate the trade-offs of using an interpretable algorithmic approach that combined a principled approach with deep-learning for decoding finger movements from brain data. We found that explainability may not need to be sacrificed for good performance, and that an interpretable algorithm can provide insights into motor control as well as future avenues for model improvement. \r\n\r\nOverall, by integrating these distinct but related areas, this defense contributes to a comprehensive understanding of human motor control and how to improve it. 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