Sameer A. Ansari

Papers

Total Citations

H-Index

About

Sameer A. Ansari’s research lies at the intersection of robotics, autonomous navigation, and motion planning under uncertainty. His most influential work, “Path Planning with Uncertainty: Voronoi Uncertainty Fields” (2013, 46 citations), introduces a novel two-level path planning algorithm that gracefully handles imperfect map information. The higher-level planner leverages modified generalized Voronoi diagrams to guarantee connectivity between start and goal positions, while the lower-level planner explicitly accounts for sensor and environmental uncertainty. This dual approach ensures both safety and completeness, even when the robot’s knowledge of its surroundings is incomplete or noisy. Ansari’s contributions are particularly valuable for real-world autonomous systems operating in dynamic, partially known environments—such as search-and-rescue robots or self-driving vehicles. His work bridges theoretical guarantees with practical robustness, earning recognition among researchers in probabilistic robotics. By addressing the critical challenge of planning with uncertainty, Ansari has helped advance the reliability of autonomous navigation, making his research a key reference for students and engineers developing next-generation robotic systems.