Jeremy Krause
Papers
1
Total Citations
6
H-Index
1
About
Jeremy Krause is a roboticist whose research focuses on the control and dynamic stabilization of legged systems, with a particular emphasis on expanding the practical operational limits of bipedal and quadrupedal robots. His major contribution lies in developing novel, sampling-based control frameworks that move beyond traditional, conservative methods for estimating a robot’s Region of Attraction (ROA). Instead of relying on restrictive analytical assumptions, Krause’s work, exemplified by his highly cited 2020 paper, introduces a data-driven approach that actively searches for and validates larger, more practical ROAs. This allows dynamically balancing robots to recover from more extreme disturbances and operate safely across a wider range of motions. By directly addressing the limitations of sum-of-squares optimization for highly nonlinear systems, his research provides a powerful, scalable tool for designing robust locomotion controllers. With over 6 citations on his foundational paper, Krause’s work is gaining traction for its pragmatic and effective methodology, directly impacting the development of more resilient and capable legged robots that can navigate complex, real-world environments.
Research Focus
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Top Papers
- 1