Papers
10
Total Citations
417
H-Index
8
About
Isabelle Laffont is a leading researcher at the intersection of neurorehabilitation and assistive robotics, with a primary focus on restoring upper-limb function after stroke and improving independence for individuals with quadriplegia. Her major contributions lie in dissociating true motor recovery from compensatory strategies during robotic and exoskeleton training, a distinction critical for designing effective rehabilitation protocols. Her seminal 2015 work on brain-computer interfaces for neurorehabilitation, cited 189 times, established a foundational framework for integrating these technologies into post-stroke therapy. Laffont has also driven the development and clinical validation of assistive robotic systems, most notably the SAM robot, which enables grasping and manipulation for severely disabled users through intuitive graphic interfaces and automatic vision control. Her research, which has garnered over 400 citations, consistently bridges engineering innovation with rigorous clinical evaluation, as demonstrated by her multicenter usability studies and kinematic analyses of sensorimotor compensation. Through her work on reconfigurable evaluation platforms like PLEIA, she has advanced quantitative assessment tools for human-computer interaction in rehabilitation, solidifying her reputation as a pioneer in technology-driven neurorehabilitation.
Research Focus
Key Achievements
Top Papers
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- 3Innovative technologies applied to sensorimotor rehabilitation after stroke54 citations · 2014
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- 7High level functions for the intuitive use of an assistive robot10 citations · 2013
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- 10PLEIA: A Reconfigurable Platform for Evaluation of HCI Acting3 citations · 2007