Hossein Kakahaji

Papers

Total Citations

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About

Hossein Kakahaji is a robotics researcher whose work focuses on motion planning and navigation for nonholonomic mobile robots, particularly car-like vehicles operating in unknown environments. His most significant contribution is the development of the Nonholonomic Random Replanner (NRR), a sensor-based approach introduced in his highly cited 2014 paper. This method incrementally guides a robot toward its destination by leveraging a nonholonomic rapidly exploring random tree (RRT) algorithm, enabling real-time replanning without requiring a global map. The NRR algorithm addresses critical challenges in autonomous navigation, such as handling kinematic constraints and avoiding obstacles in cluttered, unknown spaces. With 9 citations, this work has influenced subsequent research in robotic path planning and has been recognized for its practical applicability in field robotics. Kakahaji’s research bridges theoretical planning algorithms with real-world implementation, making his work valuable for students and engineers developing autonomous ground vehicles. His contributions highlight the importance of efficient, constraint-aware navigation strategies in advancing mobile robotics.