Yanamareddy Pravallika
Papers
1
Total Citations
1
H-Index
1
About
Yanamareddy Pravallika’s research advances autonomous systems, with a focus on intelligent navigation and real-time decision-making for unmanned ground vehicles (UGVs). Her most-cited work, “TrackerBot: Parallel Object Tracking and Collision Avoidance Design for Unmanned Ground Vehicles” (2023), introduces a novel framework that integrates simultaneous object tracking and collision avoidance—a critical challenge in dynamic environments. By enabling autonomous rovers to process sensor data and adjust trajectories in parallel, Pravallika’s design enhances both safety and efficiency in applications ranging from exploration to logistics. Her contributions address fundamental bottlenecks in mobile robotics, such as balancing computational load with real-time responsiveness. While her citation count is still growing, the practical relevance of her work has drawn attention from researchers in field robotics and autonomous navigation. Pravallika’s research is particularly notable for its emphasis on scalable, low-latency algorithms that can be deployed on resource-constrained platforms. As autonomous rovers become increasingly integral to disaster response, agriculture, and surveillance, her work lays a foundation for more adaptive and collision-free navigation systems. Her ongoing efforts promise to shape the next generation of intelligent, self-reliant mobile robots.
Research Focus
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Top Papers
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