Ruan Victor Pelloso Duarte Barros
Papers
1
Total Citations
21
H-Index
1
About
Ruan Victor Pelloso Duarte Barros is a researcher whose work sits at the intersection of robotics and artificial intelligence, with a primary focus on solving complex kinematic challenges. His most cited paper, "Artificial Neural Networks Applied in the Solution of the Inverse Kinematics Problem of a 3D Manipulator Arm" (2018, 21 citations), addresses a fundamental hurdle in robotics: the non-trivial, multi-solution nature of inverse kinematics. By leveraging artificial neural networks, Barros provides an innovative approach to determining joint configurations for a desired end-effector position—a problem that grows exponentially more complex with additional degrees of freedom. This contribution is particularly significant for advancing the precision and autonomy of robotic manipulators used in manufacturing, surgery, and exploration. While his citation count reflects a focused, emerging impact, Barros’ work stands out for bridging classical robotics theory with modern machine learning techniques, offering a scalable solution to a traditionally intractable problem. His research is a valuable resource for students and engineers seeking to integrate neural networks into robotic control systems, demonstrating how AI can simplify the mathematical complexities of real-world motion planning.
Research Focus
Key Achievements
Top Papers
- 1