Jalal Habibi

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About

Jalal Habibi is a robotics and autonomous systems researcher whose work centers on trajectory optimization, path planning, and multi-robot patrolling problems. His research addresses some of the most computationally demanding challenges in autonomous navigation, particularly the coordination of multiple robots operating under real-world kinematic constraints. Habibi's most recognized contribution, "Optimal Path Tracking With Dubins' Vehicles" (2020, 8 citations), tackles the complex problem of patrolling with Dubins' vehicles — robots constrained by minimum turning radii and restricted to forward-only motion. This work pushes beyond classical assumptions to deliver practically viable solutions for constrained autonomous agents. His earlier paper on time-efficient trajectory optimization (2016, 4 citations) introduced novel formulations for minimizing patrol time across multiple robots with flexible depot assignments, offering greater operational flexibility. His 2019 work further generalized these frameworks, relaxing common assumptions about robot counts and starting configurations to produce more broadly applicable optimization models. Collectively, Habibi's research has laid important groundwork for scalable, constraint-aware multi-robot systems. His contributions are particularly valuable for students and engineers working on autonomous surveillance, search-and-rescue operations, and real-world robotic deployment where idealized assumptions rarely hold.