Meghan Huber is an assistant professor in the Department of Mechanical and Industrial Engineering at UMass Amherst and the principal investigator of the Human Robot Systems Laboratory. The mission of the lab is to (1) improve human-robot physical interaction using principles from human neuromotor control and perception and (2) advance how humans and robots learn to guide the physical interactive behavior of one another.

Her prior research focused on assessing and enhancing complex motor skill learning using virtual environments. She also developed multiple virtual rehabilitation systems for in-home use and worked on teams developing virtual training simulations for medical and military purposes.

Before joining UMass Amherst, she was a postdoctoral research associate in the Department of Mechanical Engineering at the Massachusetts Institute of Technology  in the Newman Laboratory under the direction of Professor Neville Hogan from 2016-2020. She received her Ph.D. in Bioengineering from Northeastern University in 2016 under the advisement of Prof. Dagmar Sternad, her M.S. degree in Biomedical Engineering from The University of Texas at Dallas in 2011, and her B.S. degree in Biomedical Engineering from Rutgers University in 2009. During her doctoral training, she was also a Visiting Junior Scientist in the Autonomous Motion Department at the Max Planck Institute for Intelligent Systems in Tübingen, Germany in 2014.

Recent News

Paper Published in IEEE Robotics and Automation Letters
"Velocity-curvature patterns limit human-robot physical interaction" by Pauline Maurice, Meghan Huber, Neville Hogan, and Dagmar Sternad is now in preprint in IEEE Robotics and Automation Letters and will be presented at IROS 2017.
Paper Accepted to IROS 2017
Meghan Huber, Charlotte Folinus, and Neville Hogan will present "Visual Perception of Limb Stiffness" at IROS 2017.
Paper Accepted to DSCC 2017
Ryan Koeppen, Meghan Huber, Dagmar Sternad, and Neville Hogan will present "Controlling Physical Interaction: Humans Do Not Minimize Muscle Effort" at the 2017 Dynamic Systems and Control Conference (DSCC).