Ricardo Breganon
Instituto Federal de Educação Ciência e Tecnologia do Paraná
Papers
1
Total Citations
46
H-Index
1
About
Ricardo Breganon is a researcher whose work lies at the intersection of robotics, artificial intelligence, and industrial automation. His primary research areas include inverse kinematics, trajectory planning, and the application of computational intelligence methods to robotic manipulators. In his most cited work, "Analysis of the Inverse Kinematics and Trajectory Planning Applied in a Classic Collaborative Industrial Robotic Manipulator" (2021, 46 citations), Breganon compares genetic algorithms (GA) and artificial neural networks (ANN) to solve inverse kinematics problems. He demonstrates that the superior method can be integrated with advanced trajectory planning, offering practical solutions for collaborative industrial robots. This contribution is significant for improving the precision and efficiency of robotic systems in manufacturing and human-robot collaboration settings. Breganon's work bridges theoretical optimization techniques with real-world robotic applications, making him a notable figure in the robotics research community. His findings continue to influence the development of more adaptive and intelligent robotic manipulators.
Research Focus
Key Achievements
Top Papers
- 1