Lillyane Rodrigues Cintra Moura
Papers
1
Total Citations
46
H-Index
1
About
Lillyane Rodrigues Cintra Moura is a researcher in robotics and intelligent systems, with a focus on inverse kinematics, trajectory planning, and collaborative industrial manipulators. Her most-cited work, "Analysis of the Inverse Kinematics and Trajectory Planning Applied in a Classic Collaborative Industrial Robotic Manipulator" (2021, 46 citations), makes a significant contribution by comparing genetic algorithms (GA) and artificial neural networks (ANN) for solving inverse kinematics in robotic arms. She demonstrates that the superior method can be effectively integrated with trajectory planning, advancing the efficiency and precision of collaborative robots in industrial settings. This work highlights her expertise in merging optimization techniques with real-world robotic applications, offering practical solutions for automation challenges. Moura’s research is impactful for students and engineers seeking to understand how AI-driven methods can enhance robotic control, and her comparative analysis provides a clear pathway for selecting optimal approaches in manipulator design. Her achievements underscore a commitment to bridging theoretical algorithms with tangible industrial robotics, making her a notable voice in the field of collaborative automation.
Research Focus
Key Achievements
Top Papers
- 1