Eric Markvicka

Photograph of Dr. Eric Markvicka
Contact Information:
Nebraska Hall W335
City Campus (Lincoln)
(402) 472-1617

Assistant Professor
Academic Degrees
  • Ph.D. in Robotics, Carnegie Mellon University
  • M.S. in Robotics, Carnegie Mellon University
  • M.S. in Mechanical Engineering, University of Nebraska-Lincoln
  • B.S. in Mechanical Engineering, University of Nebraska-Lincoln
Research Opportunities (Graduate/Undergraduate)
Areas of Research and Professional Interest
  • Robotics
  • Wearable computing
  • Multifunctional composites
  • Soft materials
Courses Taught
  • MECH 350: Dynamics and Control of Engineering Systems (Spring 2019, Spring 2020)
  • MECH 453/853: Robotics: Kinematics and Design (Fall 2020)
About Eric Markvicka

Dr. Eric Markvicka directs the Smart Materials and Robotics Laboratory, which is broadly interested in research at the intersection of computer and material science to transform how materials interact with the human body and the world around us. Specifically, we engineer new systems that are composed of intrinsically soft materials (e.g. rubbers, gels, fluids) that exhibit the mechanical compliance of natural, biological tissue to ensure safe interactions with humans. These efforts typically lie in the emerging fields of wearable computing, soft robotics, and multifunctional materials.

Eric received his M.S. and Ph.D. degrees in Robotics from Carnegie Mellon University. Prior to arriving at CMU, Eric received his B.S. and M.S. degrees in Mechanical Engineering from the University of Nebraska-Lincoln. He has been a visiting researcher at the Air Force Research Laboratory, NASA Jet Propulsion Laboratory, NASA Johnson Space Center, and Honeybee Robotics. He is a recipient of graduate research fellowship awards from the National Science Foundation (NSF), the Center for Machine Learning and Health (CMLH) at CMU, and NASA Nebraska Space Grant Consortium.

Autonomously Electrically Self-Healing Soft Electronics

ElectroDermis: Untethered Electronic Bandages

Autonomously Electrically Self-Healing Soft Robotics