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The University of Massachusetts Amherst

Meghan E. Huber

Assistant Professor, MIE
Director, Human Robot Systems Lab
Core Faculty

BIO

Meghan is currently an Assistant Professor in the Department of Mechanical and Industrial Engineering at University of Massachusetts Amherst and director of the Human Robot Systems Laboratory. Her research focuses on understanding how humans and robots can learn from the physical interactions of one another. 

Meghan received her B.S. degree in Biomedical Engineering from Rutgers University in 2009 and her M.S. degree in Biomedical Engineering from The University of Texas at Dallas in 2011. She recently received her Ph.D. in Bioengineering from Northeastern University in 2016. During her doctoral training, she was a Visiting Junior Scientist in the Autonomous Motion Department at the Max Planck Institute for Intelligent Systems in Tübingen, Germany in 2014. She was a postdoctoral research associate in the Department of Mechanical Engineering at the Massachusetts Institute of Technology from 2016-2020.

Outside of the lab, Meghan enjoys knitting, sewing, biking, and playing with her mini dachshund puppy named Yoshi.

Recent Publications

Abu-Dakka, F. J., Saveriano, M., Huber, M. E., & Boaventura, T. (2022). Editorial: Variable impedance control and learning in complex interaction scenarios: challenges and opportunities. IEEE Robotics and Automation Letters, 7(4), 12158-12160.
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. To appear in IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). IEEE.
Price, M., Huber, M. E., & Hoogkamer, W. (2022). Minimum effort simulations of split-belt treadmill walking exploit asymmetry to reduce metabolic energy expenditure. bioRxiv.
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.
Huber, M. E., Lee, J., Agarwal, V., Warren, H., & Hogan, N. (2020). Overground gait patterns changed by modulating hip stiffness with a robotic exoskeleton. In 2020 8th IEEE RAS/EMBS International Conference for Biomedical Robotics and Biomechatronics (BioRob) (pp. 967-972). IEEE.
Lee, J., Warren, H. R., Agarwal, V., Huber, M. E., & Hogan, N. (2020, May). Modulating hip stiffness with a robotic exoskeleton immediately changes gait. In 2020 IEEE International Conference on Robotics and Automation (ICRA) (pp. 733-739). IEEE.
Huber, M. E., Chiovetto, E., Giese, M., & Sternad, D. (2020). Rigid soles improve balance in beam walking, but improvements do not persist with bare feet. Scientific reports, 10(1), 1-17.
Sup, F., Huber, M., and Follette, D. (2020). We engineered a protective face shield for COVID-19. Here are management lessons that apply to any industry, Fast Company, Apr, 20, 2020.
Lee, J., Goetz, D., Huber, M. E., & Hogan, N. (2019, November). Feasibility of gait entrainment to hip mechanical perturbation for locomotor rehabilitation. In 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (pp. 7343-7348). 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.
Lee, J., Huber, M. E., Chiovetto, E., Giese, M., Sternad, D., & Hogan, N. (2019, May). Human-inspired balance model to account for foot-beam interaction mechanics. In 2019 International Conference on Robotics and Automation (ICRA) (pp. 1969-1974). IEEE.
Lee, J., Huber, M. E., Sternad, D., & Hogan, N. (2018, October). Robot controllers compatible with human beam balancing behavior. In 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (pp. 3335-3341). IEEE.
Zhang, Zhaoran, et al. "Exploiting the geometry of the solution space to reduce sensitivity to neuromotor noise." PLoS computational biology 14.2 (2018): e1006013.
Chiovetto, E., Huber, M. E., Sternad, D., & Giese, M. A. (2018). Low-dimensional organization of angular momentum during walking on a narrow beam. Scientific reports, 8(1), 1-14.
Koeppen, R., Huber, M. E., Sternad, D., & Hogan, N. (2017, October). Controlling physical interactions: Humans do not minimize muscle effort. In Dynamic Systems and Control Conference (Vol. 58271, p. V001T36A003). American Society of Mechanical Engineers. ** Best student paper finalist **
Huber, M. E., Folinus, C., & Hogan, N. (2017, September). Visual perception of limb stiffness. In 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (pp. 3049-3055). IEEE.
Maurice, P., Huber, M. E., Hogan, N., & Sternad, D. (2017). Velocity-curvature patterns limit human–robot physical interaction. IEEE Robotics and Automation Letters, 3(1), 249-256.
Huber, M. E., Kuznetsov, N., & Sternad, D. (2016). Persistence of reduced neuromotor noise in long-term motor skill learning. Journal of Neurophysiology, 116(6), 2922-2935.
Huber, M. E., Brown, A. J., & Sternad, D. (2016). Girls can play ball: Stereotype threat reduces variability in a motor skill. Acta psychologica, 169, 79-87.
Huber, M. E., Seitz, A. L., Leeser, M., & Sternad, D. (2015). Validity and reliability of Kinect skeleton for measuring shoulder joint angles: a feasibility study. Physiotherapy, 101(4), 389-393.
Huber, M., Leeser, M., Sternad, D., & Seitz, A. L. (2015, June). Accuracy of kinect for measuring shoulder joint angles in multiple planes of motion. In 2015 International Conference on Virtual Rehabilitation (ICVR) (pp. 170-171). IEEE.
Huber, M. E., Seitchik, A. E., Brown, A. J., Sternad, D., & Harkins, S. G. (2015). The effect of stereotype threat on performance of a rhythmic motor skill. Journal of Experimental Psychology: Human perception and Performance, 41(2), 525-541.
Huber, M. E., & Sternad, D. (2015). Implicit guidance to stable performance in a rhythmic perceptual-motor skill. Experimental brain research, 233(6), 1783-1799.
Huber, M. E., Seitz, A. L., Leeser, M., & Sternad, D. (2014, April). Validity and reliability of Kinect for measuring shoulder joint angles. In 2014 40th Annual Northeast Bioengineering Conference (NEBEC) (pp. 1-2). IEEE.
Kuznetsov, N., Huber, M. E., & Sternad, D. (2014, April). Exploratory aspects of variability in learning a novel skill. In 2014 40th Annual Northeast Bioengineering Conference (NEBEC) (pp. 1-2). IEEE.
Guo, D., Huber, M. E., & Sternad, D. (2014, April). State space analysis of human timing: Timing accuracy limit is 9 ms. In 2014 40th Annual Northeast Bioengineering Conference (NEBEC) (pp. 1-2). IEEE.
Huber, M. E., & Sternad, D. (2014, April). Implicit guidance to dynamic stability in rhythmic ball bouncing. In 2014 40th Annual Northeast Bioengineering Conference (NEBEC) (pp. 1-2). IEEE.
Huber, M. E., Leeser, M., & Sternad, D. (2013, August). Development of a low-cost, adaptive, clinician-friendly virtual rehabilitation system. In 2013 International Conference on Virtual Rehabilitation (ICVR) (pp. 172-173). IEEE.
Zielke, M., LeFlore, J., Dufour, F., Hardee, G., Huber, M., Thomas, P., Kanipe, K., Whetstone, E., & Buxkamper, A. (2010, December). Game-based virtual patients–educational opportunities and design challenges. In Interservice/Industry Training, Simulation, and Education Conference (I/ITSEC) 2010.
Huber, M., Rabin, B., Docan, C., Burdea, G., Abdelbaky, M., & Golomb, M. (2010). Feasibility of modified remotely-monitored in-home gaming technology for improving hand function in adolescents with cerebral palsy. IEEE Transactions on Information Technology in Biomedical Engineering, 14(2), 526-534.
Golomb, M., McDonald, B., Warden, S. J., Yonkman, J., Saykin, A., Shirley, B., Huber, M., Rabin, B., Abdelbaky, M., Nwosu, M., Barkat-Masih, M., & Burdea, G. (2010). In-Home virtual reality videogame telerehabilitation in children with hemiplegic cerebral palsy. Archives of Physical Medicine and Rehabilitation, 91(1), 1-8.
Golomb, M. R., Barkat-Masih, M., Rabin, B., Abdelbaky, M., Huber, M., & Burdea, G. (2009, June). Eleven months of home virtual reality telerehabilitation-Lessons learned. In 2009 Virtual Rehabilitation International Conference (pp. 23-28). IEEE.
Huber, M., Rabin, B., Docan, C., Burdea, G., Nwosu, M. E., Abdelbaky, M., & Golomb, M. R. (2008, August). PlayStation 3-based tele-rehabilitation for children with hemiplegia. In 2008 Virtual Rehabilitation (pp. 105-112). IEEE.
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