Neha Yadav

Papers

Total Citations

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About

Neha Yadav is a researcher in robotics and computer vision, with a primary focus on visual navigation and obstacle avoidance for mobile robots. Her most-cited work, "Overview of Optical Flow Technique for Mobile Robot Obstacle Avoidance" (2018), provides a comprehensive analysis of how optical flow—a method for detecting relative motion between a robot and objects in its environment—can be leveraged to achieve robust, vision-based navigation. This contribution is particularly significant in the field of autonomous systems, where reliable obstacle detection is critical for safe and efficient movement. While her citation count is modest, her work addresses a foundational challenge in mobile robotics: enabling robots to perceive and react to dynamic surroundings without relying on expensive sensors. By synthesizing optical flow techniques, Yadav offers a cost-effective and computationally efficient solution that has practical implications for real-world applications, from service robots to autonomous vehicles. Her research underscores the growing importance of visual cues in robotic perception, making her a thoughtful contributor to the ongoing evolution of intelligent, self-navigating machines.