Rasheeq A. Mughal
Papers
1
Total Citations
6
H-Index
1
About
Rasheeq A. Mughal is a robotics researcher whose work centers on the kinematic control and optimization of redundant manipulators, with a particular focus on addressing joint constraints in robotic systems. His most cited paper, "Inverse kinematics control of redundant planar manipulator with joint constraints using numerical method" (2015, 6 citations), introduces an efficient numerical scheme for solving the inverse kinematics of a four-degree-of-freedom RRPR redundant planar manipulator. By integrating forward kinematics with joint angle constraints, Mughal’s approach enables precise motion planning for robots operating in constrained environments—a critical challenge in industrial automation and assistive robotics. This contribution provides a practical framework for controlling redundant manipulators, which are increasingly used in tasks requiring flexibility and obstacle avoidance. Though his citation count is modest, Mughal’s work lays foundational groundwork for researchers exploring numerical methods in robotics, demonstrating how algorithmic efficiency can overcome physical limitations. His research appeals to students and engineers seeking to understand the intersection of kinematics, constraint satisfaction, and real-time control in robotic systems.
Research Focus
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Top Papers
- 1