Mahendra Kumar Jangid

Sant Longowal Institute of Engineering and Technology

Papers

Total Citations

H-Index

About

Mahendra Kumar Jangid is a researcher focused on advancing robotic manipulation and control systems for industrial applications, particularly in manufacturing and casting processes. His work centers on optimizing trajectory tracking and solving complex kinematic challenges for multi-link robotic manipulators. In a landmark 2021 study, Jangid developed an optimized controller for a three-link robotic manipulator used in casting, achieving dramatic reductions in the Integral Time Absolute Error (ITAE) by 93.05%, 94.44%, and 97.6% across joints 1, 2, and 3 respectively—a contribution that has earned 7 citations. Building on this, his 2022 paper introduced a novel inverse kinematics solution using the Ant Lion Optimizer for a newly designed three-link manipulator, addressing the nonlinear dynamic behavior that makes control difficult in the era of Industry 4.0. With 4 citations, this work highlights his ability to apply bio-inspired algorithms to enhance precision and reduce lead time in production. Jangid’s research directly impacts the efficiency and reliability of robotic systems in manufacturing, offering practical solutions for reducing errors and improving automation. His achievements underscore a commitment to bridging theoretical optimization with real-world industrial robotics challenges.