Elisa Galofaro
Papers
9
Total Citations
235
H-Index
7
About
Elisa Galofaro is a leading researcher at the intersection of wearable robotics, haptics, and human-machine interaction, with a focus on restoring and augmenting upper-limb function. Her work centers on developing intelligent, adaptive control systems for soft exosuits and hybrid assistive technologies. She is best known for pioneering an adaptive model-based myoelectric control framework for soft wearable arm exosuits, a contribution that has garnered 150 citations and addresses critical ergonomic and sensing limitations in rigid exoskeletons. Galofaro has also made significant strides in immersive haptics, notably by rendering force feedback through neuromuscular electrical stimulation (NMES) for virtual reality, and by combining functional electrical stimulation with exoskeletons to enhance VR experiences. Her research extends to bimanual motor control and human-robot haptic interaction, exploring how handedness and motor strategies influence coupled manipulation. A key achievement is her work applying soft robotics to improve upper-limb endurance in individuals with Multiple Sclerosis, demonstrating the clinical translation of her technologies. With a growing citation impact across nine highly-cited papers, Galofaro is shaping the next generation of wearable robots that are not only ergonomic but also capable of sensing and responding to the user’s physiological state.
Research Focus
Key Achievements
Top Papers
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- 5A Dual Arm Haptic Exoskeleton for Dynamical Coupled Manipulation11 citations · 2021
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