Andy Rahmawan
Papers
1
Total Citations
6
H-Index
1
About
Dr. Andy Rahmawan is a robotics researcher whose work focuses on optimizing robotic manipulator systems, particularly through the application of evolutionary algorithms. His key research areas include robotic arm simulation, gripper design, and control systems for multi-degree-of-freedom (DOF) manipulators. His most cited work, "Optimasi Gripper Dua Lengan dengan Menggunakan Metode Genetic Algorithm pada Simulator Arm Robot 5 DOF," demonstrates his pioneering approach to enhancing robotic efficiency. In this study, Rahmawan developed a 5-DOF arm robot simulator using acrylic, servomotors, and an Arduino Uno SMD microcontroller, integrating a two-finger gripper optimized via a Genetic Algorithm. This contribution, with 6 citations, showcases his ability to blend hardware prototyping with computational optimization, offering a low-cost, accessible platform for robotics education and experimentation. Rahmawan’s work is notable for its practical impact on robotic design, providing a foundation for further research in adaptive gripper control and automated manipulation. His achievements highlight a commitment to advancing robotics through simulation and real-world testing, making his research valuable for students and engineers exploring evolutionary optimization in mechatronic systems.
Research Focus
Key Achievements
Top Papers
- 1