Lauren Knop

About

Lauren Knop’s research bridges the frontiers of biomechanics and STEM education, with a focus on human-robot interaction and assistive technology. Her most-cited work, “Estimating the multivariable human ankle impedance in dorsi-plantarflexion and inversion-eversion directions using EMG signals and artificial neural networks” (18 citations), advances neural control of wearable robots by modeling ankle dynamics—a key contribution to rehabilitation engineering. Knop is equally recognized for pioneering human-interactive robotics in middle school STEM outreach. Her paper on a human-interactive robotics program (13 citations) and the GUPPIE underwater robot curriculum (9 citations) demonstrate hands-on, theme-based learning that makes engineering accessible. Notably, her work monitoring motivation factors for girls in summer robotics programs (2 citations) addresses critical equity gaps in STEM, exploring how robotics can sustain interest among underrepresented groups. Through these contributions, Knop has shaped both the technical understanding of human-machine systems and the pedagogical strategies for inspiring the next generation of engineers.

Research Focus

Key Achievements

Top Papers

1. 1
   Estimating the multivariable human ankle impedance in dorsi-plantarflexion and inversion-eversion directions using EMG signals and artificial neural networks

   18 citations · 2017
2. 2
   A human-interactive robotic program for middle school STEM education

   13 citations · 2017
3. 3
   GUPPIE program — A hands-on STEM learning experience for middle school students

   9 citations · 2017
4. 4
   Monitoring Motivation Factors for Girls in Summer Robotics Program

   2 citations · 2020

Key Collaborators

Contact & Links