Professor Murphey's research focuses on computational methods in dynamics and control, with applications in neuroscience, health science, robotics, and automation. The group focuses on computational models of embedded control, biomechanical simulation, dynamic exploration, and hybrid control. The mathematical approaches used by the group lead to many orders of magnitude improvement in computational efficiency for reliable real-time implementation. Applications include assistive exoskeleton control, stabilization of energy networks, bio-inspired active sensing, entertainment robots, robotic exploration, and software-enabled stroke rehabilitation. His group's work on robotic marionettes has been featured at the Museum of Science and Industry, Chicago.
California Institute of Technology Pasadena, CA
Ph.D. in Control and Dynamical Systems, 2002
Thesis: Control of Multiple Model Systems
University of Arizona Tucson, AZ
B.S. in Mathematics, summa cum laude, 1997
Professor Murphey has developed the ME 314 Machine Dynamics course, focusing on the application of variational analysis to simulation anddesign of mechanisms. He has additionally developed ME 454, anintroduction to numerical methods in optimal control. He taught an online version of one of the Engineering Analysis courses as a Coursera Massive Open Online Course (MOOC) (more information can be found at Coursera class Everything is the Same: Modeling Engineered Systems). In all these courses, Professor Murphey focuses on project-based learning. He has been a featured speaker at the National Academy of Engineering Frontiers of Engineering Education Workshop (see his blog here).