Papers

4

Total Citations

57

H-Index

4

About

Jeffrey Berning is a leading researcher at the intersection of rehabilitation robotics and neuromusculoskeletal engineering. His work focuses on restoring upper-limb function for individuals with paralysis from spinal cord injury or stroke, with a particular emphasis on hybrid control systems that combine functional electrical stimulation (FES) with robotic exoskeletons. Berning’s major contributions include the development of the MAHI Open Exoskeleton, a novel upper-limb robot designed for repeatable, high-quality movement therapy, and pioneering shared control algorithms that seamlessly integrate FES with robotic assistance to improve movement accuracy and functional task performance. His most-cited paper, “Myoelectric control and neuromusculoskeletal modeling” (2021, 18 citations), establishes a foundational framework for merging complementary technologies in rehabilitation. With over 57 total citations across his key works, Berning’s research is gaining traction in the field. Notably, his 2024 study on multi-degree-of-freedom hybrid control represents a significant step toward practical, user-driven assistive devices. Berning’s work is essential reading for anyone interested in advancing robotic rehabilitation and neural interfaces.

Research Focus

Key Achievements

4
H-Index
4
Papers
57
Total Citations
14
Avg Citations/Paper
🏆 Most Cited Paper
Myoelectric control and neuromusculoskeletal modeling: Complementary technologies for rehabilitation robotics
18 citations · 2021
📈 Most Prolific Year: 2022 (2 Papers)
🤝 Key Collaborators: 10
🏛 Institutions: Rice University, Interface (United States), James S. McDonnell Foundation

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago