DescriptionDesign and control of exoskeletons (and prostheses) thus far has been primarily carried out following heuristic methods and exhaustive experimental (design and test) procedures. This approach significantly slows down design iterations and increases project costs. A predictive simulation framework for combined human and device dynamics is a valuable tool that can significantly accelerate optimal device and controller design. We are building predictive models of combined muscuoloskeletal and exoskeleton dynamics for walking, where design parameters for the exoskeleton (such as actuation torque profiles) and various objective functions (such as metabolic cost) can be optimized simultaneously.
OrganizationColorado School of Mines
DepartmentMechanical Engineering
Sponsor Campus GridOSG Connect
Principal Investigator
Ozkan Celik
Field Of ScienceBiological and Critical Systems