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Research
Professor Murphey's research focuses on computational methods in robot active learning, human-machine systems, and emergent phenomena, with applications in neuroscience, health science, robotics, materials science, and machine learning in physical environments. Example applications include assistive exoskeleton control, bio-inspired active sensing, robotic exploration, and software-enabled stroke rehabilitation.
Professor Murphey's research focuses on computational methods in robot active learning, human-machine systems, and emergent phenomena, with applications in neuroscience, health science, robotics, materials science, and machine learning in physical environments. Example applications include assistive exoskeleton control, bio-inspired active sensing, robotic exploration, and software-enabled stroke rehabilitation.
研究兴趣
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arxiv(2024)
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Millicent Schlafly,Ahalya Prabhakar,Katarina Popovic, Geneva Schlafly, Christopher Kim,Todd D. Murphey
PNAS NEXUSno. 2 (2024)
arxiv(2024)
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2023 INTERNATIONAL CONFERENCE ON REHABILITATION ROBOTICS, ICORR (2023): 1-6
ADVANCED INTELLIGENT SYSTEMSno. 2 (2023): n/a-n/a
Nature Materialsno. 12 (2023): 1453-1462
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