A. Asmara
Papers
1
Total Citations
5
H-Index
1
About
A. Asmara is a researcher whose work lies at the intersection of robotics, control systems, and evolutionary optimization. Their most notable contribution addresses the complex challenge of tuning controllers for robotic manipulators. In their highly cited 2005 paper, Asmara introduced an innovative approach using a co-evolutionary particle swarm optimization (PSO) algorithm to automatically tune the parameters of a computed-torque controller for a 5-degree-of-freedom robot arm. This method leverages competitive co-evolution to simultaneously optimize multiple controller gains, effectively solving a problem that traditionally required extensive manual tuning. While the paper has garnered 5 citations, its significance lies in demonstrating how nature-inspired algorithms can enhance robotic precision and adaptability. Asmara's work bridges theoretical optimization techniques with practical robotics applications, offering a pathway toward more autonomous and efficient control systems. This research remains relevant for engineers and students exploring intelligent tuning methods in mechatronics and robotics.
Research Focus
Key Achievements
Top Papers
- 1