Papers
7
Total Citations
76
H-Index
5
About
Sleiman Safaoui is a robotics researcher whose work sits at the intersection of motion planning, control theory, and safety under uncertainty. His primary contributions lie in developing risk-aware algorithms for nonlinear robotic systems, where he addresses the critical challenge of ensuring safe autonomy in unpredictable environments. Safaoui’s most influential work, “Risk-Averse RRT* Planning with Nonlinear Steering and Tracking Controllers” (2021, 21 citations), introduced a two-phase architecture that integrates nonlinear dynamics with risk metrics, advancing the state of the art in stochastic motion planning. He further extended this line of research by incorporating perception and prediction uncertainties into the planning loop, a key step toward robust autonomy stacks. Beyond motion planning, Safaoui has made notable contributions to multi-agent systems, including spoof-resilient coordination in distributed robotic networks and robust formation control for heterogeneous agents. His recent work on distributionally robust CVaR-based safety filtering (2024) demonstrates a continued focus on principled, uncertainty-aware safety guarantees. With a growing citation record and a portfolio spanning theory to cyber-physical security, Safaoui is establishing himself as a rising voice in risk-bounded autonomous navigation.
Research Focus
Key Achievements
Top Papers
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- 3Spoof Resilient Coordination in Distributed and Robust Robotic Networks14 citations · 2021
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- 6Shared Reality5 citations · 2021
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