Narendra Singh Yadav

Manipal Academy of Higher Education

Papers

1

Total Citations

14

H-Index

1

About

Dr. Narendra Singh Yadav is a distinguished researcher in robotics and control systems, with a primary focus on optimizing autonomous mobile robots for medical and industrial applications. His most-cited work, "Metaheuristics Algorithm for Tuning of PID Controller of Mobile Robot System" (2022, 14 citations), introduces a novel approach to enhancing robot precision and responsiveness by applying advanced metaheuristic algorithms to PID controller tuning. This contribution addresses critical challenges in medical robotics—such as reducing human interference and improving hygiene—by enabling faster, more reliable robot navigation and task execution. Dr. Yadav’s research bridges the gap between theoretical control optimization and practical deployment, demonstrating how algorithmic innovation can elevate robotic performance in real-world healthcare settings. His work has been recognized for its potential to transform robotic assistance, making it more adaptable and efficient in dynamic environments. With a growing citation impact, Dr. Yadav continues to advance the field of mobile robotics, offering solutions that promise to reshape automation in medicine and beyond.

Research Focus

Key Achievements

1
H-Index
1
Papers
14
Total Citations
14
Avg Citations/Paper
🏆 Most Cited Paper
Metaheuristics Algorithm for Tuning of PID Controller of Mobile Robot System
14 citations · 2022
📈 Most Prolific Year: 2022 (1 Papers)
🤝 Key Collaborators: 8
🏛 Institutions: Manipal Academy of Higher Education

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
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