Sanjay Kumar Patra
Papers
2
Total Citations
31
H-Index
2
About
Sanjay Kumar Patra is a rising researcher in the field of autonomous robotics and intelligent control systems, with a particular focus on humanoid navigation and optimization algorithms. His work centers on developing hybrid control strategies that enhance robotic stability and movement in complex, unstructured environments. Patra’s most influential contribution is the design of a fuzzy embedded PID controller approach for humanoid robots, which significantly improves their navigational analysis and stabilization in challenging arenas—a paper that has garnered 21 citations since 2022. He further advanced the field by introducing a hybrid Self-Organizing Migrating Algorithm (SOMA) combined with Particle Swarm Optimization (PSO) to enhance autonomous robot control parameters, achieving 10 citations in just one year. Patra’s research bridges the gap between classical control theory and modern metaheuristic optimization, offering practical solutions for real-world robotic applications. His work is particularly notable for its emphasis on hybridized techniques that outperform traditional methods, making him a promising voice in the next generation of robotics researchers.
Research Focus
Key Achievements
Top Papers
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