P. Supriya
Papers
15
Total Citations
180
H-Index
8
About
P. Supriya is a leading researcher in autonomous mobile robotics, with a primary focus on robotic path planning and navigation. Her work addresses the critical challenge of enabling robots to navigate efficiently and safely in both static and dynamic environments, a fundamental requirement for applications ranging from autonomous vehicles to hazardous environment exploration. She has made significant contributions by systematically comparing and advancing classical and intelligent algorithms, including Ant Colony Optimization, Fuzzy Logic, Temporal Difference Learning, and Deep Learning architectures for path planning. Her most cited work, "Robotic Path Planning Using Recurrent Neural Networks" (2020), has garnered 38 citations, highlighting her impact in integrating neural networks for real-time navigation. Supriya has also explored multi-robot coordination through game theory and extended her expertise to agricultural robotics, developing computer vision systems for weed identification in carrot fields. With over 150 total citations across her top papers, her research provides a comprehensive toolkit for next-generation autonomous systems, bridging the gap between theoretical algorithms and practical robotic implementation.
Research Focus
Key Achievements
Top Papers
- 1Robotic Path Planning Using Recurrent Neural Networks38 citations · 2020
- 2
- 3Implementation of Fuzzy-Based Robotic Path Planning19 citations · 2015
- 4
- 5Analysis of fuzzy rules for robot path planning17 citations · 2016
- 6
- 7Path Planning for Mobile Robots using Deep Learning Architectures13 citations · 2021
- 8
- 9Remodeled A* algorithm for mobile robot agents with obstacle positioning7 citations · 2016
- 10Application of game theory in path planning of multiple robots7 citations · 2017