Emir Alagic

Papers

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About

Emir Alagic is a robotics researcher whose work centers on autonomous mobile robot navigation, motion planning, and sensor-based obstacle avoidance. His most-cited contribution, "Design of Mobile Robot Motion Framework based on Modified Vector Field Histogram" (2019), introduces a refined approach to local path planning by adapting the classic Vector Field Histogram (VFH) algorithm. This framework integrates real-time sensor data with the Robot Operating System (ROS) to enable smooth, collision-free movement in dynamic environments—a critical challenge in field robotics. With 9 citations, this paper has informed subsequent developments in reactive navigation systems. Alagic's research bridges theoretical algorithm design and practical implementation, offering scalable solutions for autonomous platforms. His work is particularly relevant for students and engineers developing cost-effective, ROS-based robotic systems, as it demonstrates how modest algorithmic modifications can significantly improve real-world performance. By focusing on the intersection of sensor fusion, motion control, and computational efficiency, Alagic contributes to the foundational toolkit for next-generation mobile robots in logistics, inspection, and service applications.