Manish Kumar Pandey

National Institute of Technology Hamirpur

Papers

Total Citations

H-Index

About

Manish Kumar Pandey is an emerging researcher in the field of robotics and control systems, with a focused expertise in the optimal control of robotic manipulators. His work centers on developing advanced control strategies for planar robot arms, addressing the critical need for precision and efficiency in automating complex and repetitive tasks. Pandey’s major contributions include the application of Model Predictive Control (MPC) and Linear Quadratic Regulator (LQR) techniques to two-degree-of-freedom (2-DOF) robotic arms, as demonstrated in his most-cited papers from 2024. His research on MPC for a 2-DOF robotic arm, which has garnered 4 citations, explores the dynamics and control of these systems to enhance productivity in manufacturing and industrial settings. Additionally, his analysis of control dynamics using LQR optimal control techniques, with 2 citations, further solidifies his role in advancing optimal control theory for robotics. Though early in his career, Pandey’s work is foundational for students and researchers interested in the intersection of dynamics, control theory, and automation, offering practical insights into improving robotic arm performance for real-world applications.