Marcio A. F. Montezuma
Papers
1
Total Citations
3
H-Index
1
About
Marcio A. F. Montezuma is a researcher in robotics and automation, with a focus on robotic manipulator control and optimization. His most-cited work, "Inverse Kinematics and Trajectory Planning Analysis of a Robotic Manipulator" (2018), presents a comparative study of three methodologies—algebraic methods, Genetic Algorithms (GAs), and Artificial Neural Networks (ANNs)—for solving inverse kinematics in a 3-degree-of-freedom robotic manipulator. This contribution bridges classical and computational approaches, offering insights into trajectory planning and control strategies. While his citation count (3) reflects early-stage impact, the work demonstrates a foundational effort in integrating AI techniques with traditional robotics. Montezuma’s research is valuable for students and engineers exploring efficient kinematic solutions, highlighting the trade-offs between precision, adaptability, and computational cost. His work contributes to the broader goal of enhancing robotic autonomy and precision in industrial and research applications.
Research Focus
Key Achievements
Top Papers
- 1