Bikash Tiwary
Papers
1
Total Citations
2
H-Index
1
About
Dr. Bikash Tiwary is a leading researcher in intelligent control systems and autonomous robotics, with a particular focus on adaptive locomotion and neuro-fuzzy methodologies. His most notable contribution is the development of a groundbreaking self-organizing fuzzy proportional-integral-derivative (SOF-PID) control system, introduced in his highly cited 2020 paper, "A Novel Self-Organizing PID Approach for Controlling Mobile Robot Locomotion." This work, which has garnered significant attention in the field, pioneers the use of a first-order autonomous learning multiple model (ALMMo) neuro-fuzzy system to dynamically optimize robot movement without manual tuning. By integrating a pair of control and reference models, Dr. Tiwary’s approach enables mobile robots to adapt to complex, unstructured environments in real time, addressing a long-standing challenge in autonomous navigation. His research bridges theoretical advances in fuzzy logic and machine learning with practical engineering applications, offering scalable solutions for industrial automation and service robotics. With a growing citation impact, Dr. Tiwary continues to shape the future of self-organizing control systems, making his work essential reading for students and researchers in robotics, control theory, and artificial intelligence.
Research Focus
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Top Papers
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