Meghan Huber

Assistant Professor, Mechanical and Industrial Engineering

Academic Background

B.S. in Biomedical Engineering, Rutgers University, 2009
M.S. in Biomedical Engineering, University of Texas at Dallas, 2011
Ph.D. in Bioengineering, Northeastern University, 2016
Postdoc in Mechanical Engineering, Massachusetts Institute of Technology,
2020

Current Research

The overall mission of my research is to advance how humans learn to interact and cooperate with robotic systems (e.g., wearable exoskeletons, mobile robots, and manipulators). This highly interdisciplinary research lies at the intersection of robotics, dynamics, controls, human neuroscience, and biomechanics. My current research projects include: (1) the design of lower limb exoskeleton and treadmill hardware to assist and (re)train gait kinematics and kinetics, (2) the design of mobile motion capture system to measure whole body behavior in real-world settings, and (3) evaluation of human teaching by demonstration methods for robotics.

Research Interests

Generally, my research interests lie in (1) develop new methods of describing human motor behavior that are compatible for robot control, (2) understand and improve how humans learn models of robot behavior, and (3) develop robot hardware and controllers to enhance human-robot physical interaction.

Publications

Price, M., Abdikadirova, B., Locurto, D., Moreno Jaramillo, J., Cline, N., Hoogkamer, W., & Huber, M. E. (2022, October). Unilateral stiffness modulation with a robotic hip exoskeleton elicits adaptation during gait. Paper presented at 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

Lee, J., Huber, M.E., & Hogan, N. (2022). Gait entrainment to torque pulses from a hip exoskeleton robot. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 30: 656-667.

West Jr., A.M., Hermus, J., Huber, M.E., Maurice, P., Sternad, D., & Hogan, N. (2022) Dynamic primitives limit human force regulation during motion. IEEE Robotics and Automation Letters, 7(2):2391-2398.

Lee, J., Huber, M. E., & Hogan, N. (2021). Applying hip stiffness with an exoskeleton to compensate gait kinematics. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 29, 2645-2654.

Abdikadirova, B., Lee, J., Hogan, N., & Huber, M. E. Muscle-reflex model of human locomotion entrains to mechanical perturbations. In 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (pp. 7544-7549). IEEE.

Levac, D. E., Huber, M. E., & Sternad, D. (2019). Learning and transfer of complex motor skills in virtual reality: a perspective review. Journal of neuroengineering and rehabilitation, 16(1), 1-15.

Huber, M. E., Folinus, C., & Hogan, N. (2019). Visual perception of joint stiffness from multijoint motion. Journal of neurophysiology, 122(1), 51-59.

Pattinson, S. W., Huber, M. E., Kim, S., Lee, J., Grunsfeld, S., Roberts, R., Dreifus, G., Liu, L., Hogan, N. & Hart, A. J. (2019). Additive manufacturing of biomechanically tailored meshes for compliant wearable and implantable devices. Advanced Functional Materials, 29(32), 1901815.

Full List of Publications

https://scholar.google.com/citations?user=NA_FbGoAAAAJ&hl=en

Meghan Huber

Institute for Applied Life Sciences