Fouzia Gillani
Papers
1
Total Citations
11
H-Index
1
About
Dr. Fouzia Gillani is a leading researcher in advanced robotics and nonlinear control systems, with a particular focus on robust and adaptive control strategies for complex multibody robot systems. Her most cited work, "DDPG-Based Adaptive Sliding Mode Control with Extended State Observer for Multibody Robot Systems" (2023, 11 citations), pioneers a novel integration of deep reinforcement learning (DDPG) with sliding mode control (SMC) and extended state observers. This hybrid approach achieves finite-time stability and robust performance against uncertainties and external disturbances, overcoming the traditional limitations of chattering and model dependency in SMC. Dr. Gillani’s contributions are pivotal for the safe and precise operation of autonomous robotic manipulators in unstructured environments. Her work has been recognized for bridging model-free learning with classical control theory, offering practical solutions for industrial automation and service robotics. With growing citation impact, Dr. Gillani continues to shape the future of intelligent control systems, inspiring new research in adaptive and learning-based robotics.
Research Focus
Key Achievements
Top Papers
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