Understanding the interactions between robotic systems and the human’s complex musculoskeletal system is a key bottleneck in designing effective assistive devices. OpenSim is free and open source software for modeling neural and musculoskeletal structures and predicting and analyzing movement. We are using the software to predict the effects of assistive devices on human performance in tasks such as load carriage, running, and jumping. We have discovered that passive assistive devices have the potential to markedly increase jump performance. These results were generated using a dynamic optimization that simultaneously optimized human performance and device design. We have also used simulations to develop a set of design principles for using assistive devices to reduce the metabolic cost of running and walking with a heavy load. OpenSim is more than a software package—it has also become a diverse and vibrant community of researchers, teachers, and clinicians who use the software for a wide range of applications from improving treatment for children with cerebral palsy to designing exercises to prevent bone and muscle loss during spaceflight. This talk will provide an introduction to the OpenSim project and highlight several research applications where we are using the software to study human-device interaction and aid assistive device design.
Dr. Hicks is a Senior Research Engineer in the Bioengineering Department at Stanford University. She serves as the Associate Director of the National Center for Simulation in Rehabilitation Research and the Director of Data Science for the Mobilize Center. Her research uses biomechanical modeling, along with machine learning methods, to predict the effects of surgery, devices, and other interventions on human movement.
Date(s) - 05/11/2017
1062 Bainer Classroom