Miguel Pagan
Papers
1
Total Citations
10
H-Index
1
About
Miguel Pagan is a robotics researcher whose work focuses on solving fundamental challenges in manipulator kinematics and control. His primary research areas include inverse kinematics for serial robot manipulators, optimization algorithms, and parallel computing implementations for real-time robotic systems. Pagan’s most notable contribution is his development of an innovative approach to the classic inverse kinematics problem—calculating joint angles to achieve a desired end-effector pose—using Particle Swarm Optimization (PSO) combined with POSIX Threads for parallel processing. This work, published in 2023 and already garnering 10 citations, demonstrates his ability to bridge theoretical optimization methods with practical, high-performance computing solutions for robotics. By addressing the limitations of traditional analytical and numerical techniques, Pagan’s research offers a more flexible and computationally efficient alternative for complex manipulator control. His achievements highlight a commitment to advancing real-time robotic applications, making his work particularly relevant for researchers and engineers developing autonomous systems in manufacturing, medical robotics, and beyond.
Research Focus
Key Achievements
Top Papers
- 1