Meghan Huber is a postdoctoral research associate in the Department of Mechanical Engineering at the Massachusetts Institute of Technology and a member of the Newman Laboratory under the direction of Professor Neville Hogan.

Her research focuses on understanding human motor control, including how humans learn to control physical interactions and how humans learn from observing the actions of others. This basic research also serves to inform the development controllers for human-robot interaction and humanoid robots.

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.

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 under the advisement of Dr. Dagmar Sternad. 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 from 2014-2015.

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).