Surekha Bhanot

Birla Institute of Technology and Science, Pilani

Papers

Total Citations

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About

Surekha Bhanot is a distinguished researcher in robotics and intelligent control systems, with a primary focus on bio-inspired locomotion and adaptive robotic design. Her most impactful work, "Adaptive gait generation for hexapod robot using Genetic Algorithm" (2016, 17 citations), addresses a critical limitation in robotics: the lack of robustness to structural damage. By leveraging evolutionary computation, Bhanot demonstrated how hexapod robots can autonomously adapt their gait patterns after injury—mimicking the resilience seen in nature. This contribution has significant implications for search-and-rescue and exploration robots operating in unpredictable environments. Earlier, Bhanot tackled the challenge of controlling complex, nonlinear robot manipulators in her 2007 study, "Comparative Study of Some New Hybrid Fuzzy Algorithms for Manipulator Control" (4 citations). Here, she proposed innovative hybrid fuzzy control strategies that improve precision and stability in multi-input, multi-output systems. Her work bridges theoretical control engineering with practical robotic applications, offering students and researchers a clear pathway from algorithm design to real-world deployment. Bhanot’s research continues to inspire advances in adaptive, fault-tolerant robotics.