Asher Stern

Papers

Total Citations

H-Index

About

Asher Stern is a roboticist whose research focuses on enabling autonomous systems to navigate dynamic environments with speed and safety. His most-cited work, “Online obstacle avoidance at high speeds” (2013, 23 citations), introduces a computationally efficient algorithm that accounts for robot dynamics and actuator constraints, allowing vehicles to avoid static obstacles in real time. By generating trajectories incrementally—avoiding obstacles one at a time—Stern’s approach reduces a complex, high-dimensional problem to a tractable solution, paving the way for agile, collision-free navigation. This contribution is particularly impactful for autonomous drones, ground vehicles, and other platforms requiring rapid decision-making. While his citation count reflects a focused, early-career impact, Stern’s work is recognized for its practical elegance and direct applicability to high-speed robotics. His research bridges theory and implementation, offering a foundation for future advances in online motion planning.