Papers
15
Total Citations
226
H-Index
8
About
Ashkan Jasour is a robotics and autonomy researcher whose work spans risk-aware motion planning, stochastic optimization, and space robotics. His research addresses one of the most fundamental challenges in autonomous systems: enabling robots to make safe, reliable decisions in the face of probabilistic uncertainty. Jasour has developed foundational methods for quantifying and bounding risk in uncertain environments, including his influential "risk contours map" framework (40 citations) and moment-sum-of-squares approaches for fast risk estimation (23 citations), which allow robots to reason about non-Gaussian uncertainties with mathematical rigor. His work on non-Gaussian risk-bounded trajectory optimization (30 citations) further extended these capabilities to stochastic nonlinear systems operating among dynamic obstacles. Beyond theoretical contributions, Jasour has made a significant mark on real-world space exploration through his involvement with NASA's EELS project — an autonomous snake-like robot designed to explore icy moons such as Enceladus, which has already garnered 62 citations since its 2024 publication, reflecting its immediate impact. Earlier in his career, he developed adaptive neuro-predictive control strategies for redundant robot manipulators, demonstrating a consistent thread of translating rigorous mathematical frameworks into practical robotic applications. Across more than a decade of research, Jasour has established himself as a leading voice in provably safe autonomous systems.
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Top Papers
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- 10Chance Constrained Motion Planning for High-Dimensional Robots3 citations · 2019