Hassan Jardali

Indiana University Bloomington, Indiana University

Papers

Total Citations

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About

Hassan Jardali is a robotics researcher focused on enabling autonomous navigation in complex, unstructured environments. His work centers on developing perception and planning frameworks that allow robots to traverse uneven terrains without relying on pre-existing maps. Jardali’s key contributions include the integration of Gaussian Processes (GP) with path planning algorithms to create robust, real-time navigation systems. His most-cited paper, “Gaussian Process-based Traversability Analysis for Terrain Mapless Navigation” (2024, 18 citations), introduces a Sparse Gaussian Process (SGP) local map combined with an RRT* planner for efficient terrain traversal. Another highly cited work, “Autonomous Navigation, Mapping and Exploration with Gaussian Processes” (2023, 18 citations), proposes a unified framework for simultaneous mapping, exploration, and free-space identification. His 2024 paper on “Autonomous Mapless Navigation on Uneven Terrains” (12 citations) further refines this approach by training an SGP model on local pointcloud data to extract navigable paths. With a total of 48 citations across his top papers, Jardali’s research is advancing the frontier of field robotics, offering practical solutions for autonomous systems operating in challenging, real-world terrains.