Preeti Gupta
Papers
2
Total Citations
10
H-Index
2
About
Preeti Gupta is a researcher specializing in intelligent robotics, with a core focus on autonomous navigation and control systems for mobile robots operating in complex environments. Her most significant contribution is the development of a hybrid fuzzy (H-fuzzy) architecture, which enables mobile robots to intelligently navigate and avoid obstacles in both static and dynamic settings. This work, detailed in her highly cited 2017 paper, addresses a fundamental challenge in robotics: ensuring safe and efficient movement when the environment is unpredictable. By integrating fuzzy logic with other control strategies, Gupta’s architecture improves a robot’s ability to make real-time decisions, enhancing its autonomy and reliability. Her research has garnered over 10 citations, reflecting its relevance to advancing autonomous systems. Gupta’s work is particularly valuable for applications in service robotics, industrial automation, and autonomous vehicles, where robust navigation is critical. Her innovative approach to hybrid control systems marks her as a notable contributor to the field of intelligent robotics, offering practical solutions for real-world deployment.
Research Focus
Key Achievements
Top Papers
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- 2