Megan E. Reissman
Papers
1
Total Citations
6
H-Index
1
About
Megan E. Reissman investigates the intersection of human movement biomechanics and robotic exoskeleton design, with a focus on optimizing assistive technologies for clinical populations. Her research centers on understanding how gait variability, control delays, and mechanical inertia influence the effectiveness of wearable robots. In her highly cited 2019 simulation study, Reissman systematically examined how these factors impact the energy savings users experience when wearing exoskeletons—a critical step toward improving real-world performance. By modeling the complex interactions between human physiology and robotic assistance, her work reveals why some exoskeleton designs fail to deliver expected benefits and provides a framework for more effective control strategies. This research has direct implications for developing exoskeletons that can better support individuals with mobility impairments, helping them perform everyday tasks with less fatigue. Reissman’s contributions bridge the gap between theoretical modeling and practical device optimization, offering engineers and clinicians actionable insights for creating more responsive, energy-efficient assistive technologies that truly enhance human capability.
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