Gaddam Divya Vani
Papers
1
Total Citations
3
H-Index
1
About
Gaddam Divya Vani is a rising researcher in robotics and embedded systems, with a focus on adaptive mapping and hardware-accelerated exploration for autonomous robots. Her most cited work, "A Versatile Approach for Adaptive Grid Mapping and Grid Flex-Graph Exploration with a Field-Programmable Gate Array-Based Robot Using Hardware Schemes" (2024, 3 citations), introduces the innovative Grid Flex-Graph Exploration (GFGE) algorithm, which leverages FPGA-based hardware schemes to enable single-robot mapping in dynamic, complex environments. This contribution addresses critical challenges in real-time robotic navigation by combining adaptive grid mapping with efficient graph exploration, offering a versatile solution for scenarios requiring high-speed, low-latency processing. Divya Vani’s research bridges hardware design and algorithmic development, demonstrating how FPGA implementations can enhance robotic autonomy. Her work has already garnered attention for its practical implications in search-and-rescue, industrial automation, and field robotics. As an emerging scholar, she is establishing a reputation for integrating cutting-edge hardware architectures with intelligent robotic systems, paving the way for more resilient and adaptive autonomous platforms in unstructured environments.
Research Focus
Key Achievements
Top Papers
- 1