Varun Bharti

Papers

Total Citations

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About

Varun Bharti is a researcher whose work centers on robotics perception, 3D mapping, and indoor localization, with a particular focus on leveraging consumer-grade sensors for advanced environmental reconstruction. His most cited paper, "Construction of a 3D Map of Indoor Environment" (2018, 5 citations), demonstrates a foundational contribution to the field by detailing a method for building dense 3D maps using the Microsoft Kinect V2.0 RGB-D camera. This work addresses a critical challenge in robotics and computer vision—how to accurately and affordably map complex indoor spaces—by optimizing the use of widely available depth sensors. Bharti’s research has implications for autonomous navigation, augmented reality, and smart building systems, as it provides a practical framework for real-time spatial understanding. While his citation count is modest, his work is notable for its hands-on, application-driven approach, bridging the gap between theoretical algorithms and real-world deployment. By exploring the integration of visual and depth data, Bharti contributes to the growing body of knowledge that enables robots and devices to perceive and interact with their environments more intelligently, making his research a valuable resource for students and engineers developing low-cost mapping solutions.