Ishai Stern

Papers

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About

Ishai Stern is a robotics researcher whose work centers on real-time motion planning and obstacle avoidance for autonomous systems operating under dynamic constraints. His most-cited contribution, "Online obstacle avoidance at high speeds" (2013, 23 citations), introduces a computationally efficient algorithm that enables robots to navigate static obstacles while respecting actuator limits and vehicle dynamics. By generating trajectories incrementally—avoiding obstacles one at a time—Stern’s method reduces a complex, high-dimensional problem into a tractable, online solution, making it particularly valuable for high-speed applications. This work has influenced subsequent research in agile robotics, especially in domains like autonomous driving and drone navigation where rapid, safe decision-making is critical. Stern’s approach bridges the gap between theoretical optimality and practical real-time performance, showcasing his ability to address core challenges in robotic motion planning. His contributions continue to inform the development of faster, safer autonomous systems, marking him as a notable figure in the field of dynamic obstacle avoidance.