Natesh Srinivasan

Papers

Total Citations

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About

Natesh Srinivasan explores the intersection of robotics, computer vision, and bio-inspired navigation. His work centers on developing more robust and intelligent systems for autonomous movement, particularly in challenging, unstructured environments. A key contribution is his early research on feature-based landmark extraction for real-time visual SLAM (Simultaneous Localization and Mapping), a foundational technique that allows robots to build a map of an unknown environment while simultaneously keeping track of their location within it. This work, which has garnered 3 citations, addresses the critical challenge of enabling robots to navigate without relying on pre-existing maps or GPS. Srinivasan also pushes the boundaries of robotic navigation by looking to nature. In his work on primate-inspired vehicle navigation, he investigates how the cognitive ability of mental rotation—the capacity to rotate mental representations of objects—can be combined with optic flow to create more adaptable and intelligent navigation strategies. This research, with 2 citations, offers a novel framework for moving beyond traditional, rigid navigation algorithms. Through these contributions, Srinivasan is helping to build a future where robots can navigate the world with the flexibility and intuition of living creatures.