Michelle Lukasik
Papers
1
Total Citations
69
H-Index
1
About
Michelle Lukasik is a leading researcher in robotic stroke rehabilitation, whose work focuses on leveraging technology to improve motor recovery outcomes. Her most impactful contribution, the 2017 paper "Automatic Detection of Compensation During Robotic Stroke Rehabilitation Therapy" (69 citations), addresses a critical challenge in therapy: patients often unconsciously compensate for weakened limbs by using unaffected muscles, which can undermine recovery. Lukasik developed automated methods to detect these compensatory movements in real time, enabling therapists and robotic systems to correct them and promote proper motor patterns. This work bridges robotics, biomechanics, and clinical neuroscience, offering a practical tool to enhance the efficacy of automated rehabilitation. Her research has significant implications for reducing long-term disability and making therapy more accessible through intelligent, unsupervised systems. Lukasik’s contributions are widely recognized in the rehabilitation robotics community, and her detection framework has informed subsequent studies on adaptive therapy algorithms. By tackling the hidden problem of compensation, she has helped pave the way for more effective, personalized robotic rehabilitation that truly retrains the brain and body together.
Research Focus
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Top Papers
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