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

5
H-Index
5
Papers
83
Total Citations
17
Avg Citations/Paper
🏆 Most Cited Paper
A Robotic Ankle–Foot Prosthesis With Active Alignment
23 citations · 2016
📈 Most Prolific Year: 2019 (2 Papers)
🤝 Key Collaborators: 5
🏛 Institutions: University of Massachusetts Amherst, University of Michigan–Ann Arbor

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago