Saman Khoshbakht

Papers

Total Citations

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About

Saman Khoshbakht is a robotics researcher whose work focuses on real-time motion planning and autonomous navigation for mobile robots. His most-cited paper, "Real-Time Trajectory Generation for Mobile Robots" (2007), with 20 citations, introduces a computationally efficient method for generating smooth, collision-free paths in dynamic environments—a critical challenge for autonomous systems. This contribution addresses the need for rapid, safe trajectory planning, enabling robots to adapt to obstacles and changing conditions without precomputed maps. Khoshbakht’s approach emphasizes practical, real-world applicability, bridging the gap between theoretical algorithms and hardware constraints. While his citation count reflects a focused, early-career impact, his work has informed subsequent developments in mobile robotics, particularly in applications like warehouse automation and service robots. By prioritizing speed and reliability in trajectory generation, Khoshbakht has helped advance the field’s ability to deploy robots in unstructured settings. His research remains relevant for students and engineers seeking efficient solutions for autonomous navigation, demonstrating how targeted algorithmic innovations can enhance robot autonomy in time-sensitive scenarios.