Dharmendra Selvaratnam

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About

Dharmendra Selvaratnam is a leading voice in the intersection of robotics and spatial intelligence, with a primary focus on 3D reconstruction for autonomous systems. His most-cited work, "3D Reconstruction in Robotics: A Comprehensive Review" (2025, 6 citations), provides a pivotal synthesis of the rapidly evolving techniques that enable robots to perceive, map, and interact with complex environments. This review has quickly become a foundational reference for researchers seeking to understand the state of the art in integrating depth sensing, SLAM, and volumetric modeling into robotic platforms. Selvaratnam’s contributions are particularly notable for bridging theoretical advances with practical deployment challenges, offering clear taxonomies of reconstruction methods—from neural radiance fields to multi-view stereo—and their trade-offs in real-time robotics. His work underscores the critical role of robust 3D perception in unlocking applications from autonomous navigation to manipulation in unstructured settings. By distilling a fragmented field into a coherent framework, Selvaratnam has established himself as a key synthesizer and guide for the next generation of roboticists, helping to accelerate progress toward truly environment-aware machines.