Prakash Chandra Sharma

Manipal Academy of Higher Education

Papers

2

Total Citations

17

H-Index

2

About

Prakash Chandra Sharma is a researcher focused on advancing control systems for robotics, with particular expertise in PID controller tuning for mobile robots and robotic manipulators. His work addresses critical challenges in industrial automation, where precise control of robotic systems is essential for performance and reliability. Sharma’s most cited paper, "Metaheuristics Algorithm for Tuning of PID Controller of Mobile Robot System" (2022), has garnered 14 citations, highlighting its relevance to the growing integration of robots in medical and industrial settings—applications that demand quick response, minimal human interference, and enhanced hygiene. In his earlier study, "A Comparative Analysis of Conventional PID Tuning Techniques for Single Link Robotic Arm" (2021), he systematically evaluated traditional tuning methods, providing a foundational reference for researchers tackling complex controller problems in process industries. By bridging metaheuristic optimization with practical PID implementation, Sharma contributes to making robotic systems more efficient and autonomous. His work is particularly valuable for students and engineers seeking to understand how advanced tuning algorithms can improve robot performance in real-world environments, from manufacturing floors to healthcare facilities.

Research Focus

Key Achievements

2
H-Index
2
Papers
17
Total Citations
9
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: 11
🏛 Institutions: Manipal Academy of Higher Education

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago