Gagan Deep Meena

National Institute of Technology Patna

Papers

4

Total Citations

12

H-Index

2

About

Gagan Deep Meena specializes in robotics and control systems, with a particular focus on manipulator and legged robot control. His research addresses critical challenges in real-time robotic applications, including trajectory tracking, nonlinear dynamics, and parameter uncertainties. Meena's most cited work, "PID, LQR, State Feedback, and Feed-forward Controllers on a Two-Link Robotic Manipulator" (2023, 5 citations), provides a comprehensive simulation-based comparison of control strategies essential for practical implementation. He has made significant contributions to bipedal locomotion, developing controllers for 2-link and 3-link biped robots that handle disturbances, joint friction, and varying payloads. His innovative work on single-leg hopping robots includes observer design for apex height and vertical velocity estimation during stance phases (2021, 2 citations), advancing understanding of dynamic stability in legged locomotion. Across his publications, Meena demonstrates expertise in PID, backstepping, robust variable structure, and PD controllers, applying them to complex robotic systems. His research bridges theoretical control design with practical robotic applications, offering valuable insights for students and researchers working on manipulator control, bipedal walking, and dynamic legged locomotion.

Research Focus

Key Achievements

2
H-Index
4
Papers
12
Total Citations
3
Avg Citations/Paper
🏆 Most Cited Paper
PID, LQR, State Feedback, and Feed-forward Controllers on a Two-Link Robotic Manipulator: A Simulation-Based Comparison
5 citations · 2023
📈 Most Prolific Year: 2022 (2 Papers)
🤝 Key Collaborators: 4
🏛 Institutions: National Institute of Technology Patna

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago