S. S. Thakur

Papers

Total Citations

H-Index

About

S. S. Thakur is a researcher specializing in intelligent control systems, autonomous robotics, and fuzzy logic-based engineering solutions. Their work sits at the intersection of hardware implementation and artificial intelligence, with a particular focus on enabling mobile robots to navigate complex, dynamic real-world environments. Thakur's most notable contribution is the development of FPGA-based fuzzy control techniques for obstacle avoidance, which introduced a novel multilayer intelligent controller architecture synthesized using a Hardware Description Language (HDL) approach. This work, which has garnered 8 citations, demonstrated a practical pathway for embedding sophisticated fuzzy logic directly onto programmable hardware, bridging the gap between software-driven AI and real-time embedded systems. Complementing this, Thakur also pioneered work on analog fuzzy controllers for autonomous mobile robots, achieving 4 citations for a design that offers remarkable reconfigurability — allowing online rule modification to adapt to varying environmental conditions. This flexibility represents a meaningful advancement in making robotic systems more responsive and versatile. Collectively, Thakur's research contributes to the growing field of intelligent robotics, offering scalable and adaptable control frameworks that have practical implications for autonomous navigation systems across industrial and research applications.