SHIVANI KHATEDIYA

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About

Shivani Khatediya is an emerging researcher in robotics and autonomous systems, with a focused interest in real-world simulation and obstacle avoidance technologies. Her most-cited work, "Real-World Simulation Through Obstacle Avoiding Robot" (2021), has garnered 3 citations and addresses a critical challenge in modern robotics: enabling machines to autonomously detect and navigate around obstacles in dynamic environments. This research aligns with cutting-edge advancements seen in autonomous vehicles, such as Tesla’s auto-drive systems, and contributes to the broader goal of creating safer, more intelligent robots capable of operating without human intervention. Khatediya’s work bridges the gap between theoretical simulation and practical application, offering insights that could enhance the reliability of autonomous navigation in sectors like transportation, manufacturing, and service robotics. While her citation count is modest, her contributions are timely and relevant, reflecting a growing interest in self-driving technologies. As the field accelerates toward full autonomy, Khatediya’s foundational research serves as a stepping stone for future innovations in obstacle detection and real-world robotic simulation.