Anorgul Ashirova
Papers
1
Total Citations
2
H-Index
1
About
Anorgul Ashirova is a pioneering researcher at the intersection of robotics, autonomous navigation, and sensor fusion. Her work focuses on enabling intelligent systems to operate safely and efficiently in complex, dynamic environments—a critical challenge for the next generation of service and industrial robots. Ashirova’s most notable contribution is the development of a Proximal Policy Optimization (PPO)-based navigation framework that integrates LiDAR and camera data, allowing robots to make real-time, safe decisions without prior knowledge of their surroundings. This fusion technique, detailed in her 2025 paper, has already garnered early citations, signaling its importance to the field. By combining deep reinforcement learning with multi-modal perception, she addresses the long-standing problem of robust navigation in unpredictable indoor spaces. Her work not only advances theoretical understanding but also offers practical pathways for deploying autonomous robots in warehouses, hospitals, and homes. Ashirova’s research is a vital step toward truly autonomous systems that can adapt on the fly, making her a rising voice in intelligent robotics.
Research Focus
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Top Papers
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