Papers
6
Total Citations
24
H-Index
4
About
G. Divya Vani is a leading researcher in autonomous mobile robotics, specializing in hardware-accelerated navigation and multi-robot cooperation for indoor environments. Her work centers on developing novel field-programmable gate array (FPGA)-based architectures that enable real-time, energy-efficient solutions for complex robotic tasks. She has made major contributions to autonomous docking algorithms, geometry-based parking assistance, and versatile path planning with behavioral control, all implemented through custom VLSI hardware schemes. Her most-cited papers—including "Geometry-Based Parking Assistance Using Sensor Fusion for Robots With Hardware Schemes" and "Hardware Scheme for Autonomous Docking Algorithm using FPGA based Mobile Robot"—each have garnered 5 citations, demonstrating her growing influence. Notably, her 2024 work on adaptive FPGA accelerators for human-robot interaction addresses the critical challenge of predicting human posture in confined spaces, pushing the boundaries of responsive service robotics. Through her innovative fusion of hardware design and autonomous navigation, Vani is paving the way for practical, scalable robotic systems in industrial and service applications.
Research Focus
Key Achievements
Top Papers
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- 6Self-Automated Parking with FPGA-Based Robot3 citations · 2021