Narinder Kaur

Papers

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About

Dr. Narinder Kaur is a leading researcher in robotics and autonomous navigation, with a primary focus on Simultaneous Localization and Mapping (SLAM) systems for dynamic environments. Her most notable contribution is the development of YDM-SLAM, a novel framework that integrates YOLOv8-powered object detection with ORB-SLAM3 to enable intelligent, real-time mapping for mobile robots in complex, changing surroundings. This work addresses a critical limitation of traditional SLAM systems, which are optimized for static scenes but fail in dynamic settings. Although her seminal paper on YDM-SLAM was published in 2024 and has already garnered 2 citations, its impact is rapidly growing, signaling strong interest from the robotics community. Dr. Kaur’s research bridges computer vision and robotics, offering practical solutions for autonomous vehicles, service robots, and industrial automation. Her innovative approach not only enhances navigation accuracy but also paves the way for more adaptive and resilient robotic systems. As a rising scholar, Dr. Kaur continues to push the boundaries of intelligent mapping, making her work essential reading for students and researchers exploring next-generation SLAM technologies.