Sushma Gupta

Maulana Azad National Institute of Technology

Papers

Total Citations

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About

Sushma Gupta is a researcher specializing in advanced control systems for medical robotics, with a particular focus on the development and application of intelligent control strategies for surgical robot manipulators. Her work sits at the intersection of control theory, fuzzy logic, and robotic-assisted surgery — a field undergoing significant technological transformation as digital systems increasingly enter the operating theatre. Gupta's most notable contribution is her development of a supervisory online-tuned fuzzy logic-based sliding mode control system for surgical robots, published in 2018 and accumulating 52 citations — a strong indicator of its influence within the robotics and medical engineering communities. This work addresses critical challenges in achieving precise, adaptive control in dynamic surgical environments where reliability is paramount. Complementing this, she has explored robust control techniques for master-slave surgical robot configurations and fuzzy PID sliding mode approaches, collectively advancing the reliability and performance of robotic-assisted surgery systems. Her research contributes meaningfully to the broader mission of making surgical robotics safer, more precise, and more responsive — qualities essential for next-generation operating room technology. Students and engineers working in medical robotics, intelligent control, or human-machine systems will find her publications a valuable foundation for understanding real-world control design challenges.