Samarth Mathur

Papers

Total Citations

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About

Samarth Mathur is a researcher advancing the frontiers of real-time 3D mapping, a cornerstone technology for robotics, augmented and virtual reality, and autonomous systems. His most-cited work, "VoxelCache" (2022), tackles the critical challenge of efficiently fusing continuous depth sensor data into coherent 3D models—a task essential for enabling responsive spatial awareness in phones, robots, and self-driving vehicles. By optimizing how depth maps are integrated and stored, Mathur’s contributions directly improve the speed and accuracy of 3D reconstruction, making real-time mapping more practical for resource-constrained devices. With 3 citations already for this emerging work, his research signals growing recognition in the computer vision and robotics communities. Mathur’s focus on bridging algorithmic efficiency with hardware constraints positions him as a rising voice in spatial computing, where his innovations could unlock more seamless interactions between machines and their environments. For students and researchers, his work exemplifies how targeted engineering can solve foundational bottlenecks in perception systems.