Papers
2
Total Citations
8
H-Index
2
About
Yogita Gupta is a rising researcher in the field of robotics and control systems, with a focused expertise in bilateral teleoperation and human-robot interaction. Her work addresses the critical challenge of maintaining stability and synchronisation in master-slave robotic systems, particularly when hampered by communication time delays. Gupta’s major contributions include the development of advanced control algorithms that combine nonlinear optimisation with disturbance observer-based sliding mode controllers. She has pioneered a neural network model to compensate for time delays, significantly enhancing the performance and reliability of teleoperation systems. With her most-cited paper from 2024 already garnering 5 citations, Gupta’s research is gaining rapid recognition for its practical impact on remote surgical robotics and hazardous environment operations. Her innovative approach to integrating sliding mode control with neural networks represents a notable achievement, offering robust solutions to long-standing instability issues. As an emerging scholar, Yogita Gupta is establishing herself as a key contributor to next-generation teleoperation technologies, with her work poised to influence both academic research and real-world robotic applications.
Research Focus
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Top Papers
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