Dominique Emst

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About

Dominique Emst is a leading researcher in rehabilitation robotics, with a focus on developing intelligent assistive technologies for individuals with impaired walking function. Her work centers on the design and control of robotic systems that provide body-weight support during gait training, aiming to restore independence and improve quality of life for patients. A key contribution is her pioneering research on automated detection of movement transitions, such as stand-up and sit-down maneuvers, which is critical for enabling seamless, adaptive support in rehabilitation devices. Her most-cited paper, "Automated stand-up and sit-down detection for robot-assisted body-weight support training with the FLOAT" (2017), addresses the challenge of manually setting support modes by proposing a system that recognizes user intent in real time. This work has garnered 4 citations and represents a foundational step toward more autonomous and responsive gait rehabilitation tools. Emst’s research bridges robotics, biomechanics, and clinical practice, offering practical solutions that reduce therapist burden and enhance patient outcomes. Her contributions are particularly notable for advancing the FLOAT system, a robotic platform that exemplifies how sensor-driven algorithms can transform rehabilitation training into a more intuitive and effective process.