Shristi Kharola

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About

Shristi Kharola is a researcher focused on the intersection of soft computing, robotics, and intelligent control systems. Her work centers on developing advanced computational methods for real-time control of autonomous mobile platforms, with a particular emphasis on self-balancing two-wheel mobile robots (TWMRs). In her notable 2021 study, "Soft-Computing-Based Real-Time Control of Two Wheel Mobile Robot (TWMR)," Kharola pioneered the application of soft-computing techniques—such as fuzzy logic and neural networks—to stabilize and control TWMR dynamics. She developed a rigorous mathematical model using Newton's second law and implemented a comprehensive Simulink environment in MATLAB to simulate system behavior. This work, which has garnered 4 citations, demonstrates her ability to bridge theoretical modeling with practical real-time control solutions. Her contributions are particularly significant for advancing autonomous navigation in constrained environments, with potential applications in service robotics and assistive technologies. Kharola's research continues to inspire innovations in adaptive control systems, making her a promising voice in the field of computational robotics.