Brian R. Umberger
University of Massachusetts Amherst, University of Michigan–Ann Arbor
Papers
5
Total Citations
83
H-Index
5
About
Brian R. Umberger is a leading researcher in biomechanics and assistive robotics, whose work centers on the predictive simulation and dynamic optimization of human movement, particularly gait. His major contributions lie in developing computational frameworks that integrate actuator dynamics to model and enhance human-robot interactions, with a focus on lower-limb prosthetics and exoskeletons. Umberger’s research has produced highly cited works, including a 2016 study on a robotic ankle–foot prosthesis with active alignment (23 citations) and a 2020 paper on including actuator dynamics in simulations of assisted movement (21 citations), both of which address the critical challenge of transferring mechanical power from devices to the human body without causing discomfort or injury. His 2019 predictive simulation of walking augmented by a powered ankle exoskeleton (21 citations) demonstrates how these models can reduce metabolic cost, while his work on a generalized lower-limb prosthesis model (10 citations) offers a novel approach to optimizing prosthesis dynamics without constraining design. Umberger’s achievements include pioneering methods that bridge simulation and real-world device evaluation, making him a key figure in advancing robotic assistance for mobility-impaired individuals.
Research Focus
Key Achievements
Top Papers
- 1A Robotic Ankle–Foot Prosthesis With Active Alignment23 citations · 2016
- 2Inclusion of actuator dynamics in simulations of assisted human movement21 citations · 2020
- 3
- 4Dynamic optimization of Gait with a Generalized Lower-Limb Prosthesis Model10 citations · 2019
- 5