Caroline Laszlo
Papers
1
Total Citations
18
H-Index
1
About
Caroline Laszlo is a leading researcher in neurorehabilitation robotics, with a primary focus on developing intelligent, patient-adaptive control systems for gait training. Her work addresses a critical limitation in robotic rehabilitation—the inability of conventional devices to adjust support based on a patient’s real-time functional capacity. Her most-cited study, a 2023 pilot investigation, rigorously evaluates the feasibility of an assist-as-needed (AAN) controller integrated into the Lokomat robotic gait trainer. This research demonstrates how the "Adaptive Gait Support" (AGS) algorithm can dynamically modulate robotic assistance, promoting greater patient effort and neuroplastic recovery. With 18 citations in a short period, this work is already shaping clinical protocols for neurological disorders. Laszlo’s contributions are pivotal for transitioning robotic therapy from rigid, one-size-fits-all paradigms to personalized, responsive interventions. Her findings offer a promising path toward more effective, patient-centered rehabilitation, directly impacting how clinicians and engineers design future assistive technologies for stroke, spinal cord injury, and other movement disorders.
Research Focus
Key Achievements
Top Papers
- 1