Manvir Singh Lamba
Papers
1
Total Citations
2
H-Index
1
About
Manvir Singh Lamba is a researcher whose work centers on robotics and control systems, with a particular focus on the modeling and trajectory tracking of robotic manipulators. His key contributions lie in the application of bond graph methodology to design and analyze control algorithms for complex mechanical systems. In his notable 2022 paper, "Trajectory tracking of 4-DOF robot manipulator: a bond graph approach," Lamba presents a novel position control algorithm for a four-degree-of-freedom manipulator featuring a sophisticated parallelogram linkage mechanism. This work demonstrates his ability to integrate theoretical modeling with practical control challenges, offering a systematic approach to achieving precise motion in multi-jointed robotic arms. While his citation count is currently modest, his research addresses foundational issues in robot kinematics and dynamics, contributing to the broader field of automation and intelligent systems. Lamba’s work is particularly relevant for students and engineers exploring bond graph techniques for mechatronic design, showcasing how rigorous modeling can enhance the performance and reliability of robotic platforms in industrial and research applications.
Research Focus
Key Achievements
Top Papers
- 1Trajectory tracking of 4-DOF robot manipulator: a bond graph approach2 citations · 2022