Addin Suwastono
Papers
1
Total Citations
3
H-Index
1
About
Addin Suwastono is a researcher focused on robotics and automation, with a particular emphasis on applied mechatronics and industrial robotic systems. His work centers on the development of practical robotic solutions for object manipulation and classification tasks. His most cited paper, "RANCANG BANGUN PURWARUPA KLASIFIKASI WARNA OBJEK MENGGUNAKAN ROBOT LENGAN 4-DOF" (2017), which has garnered 3 citations, presents a prototype of a 4-degree-of-freedom robotic arm equipped with a gripper end-effector. This system is designed to automatically classify objects based on their color, demonstrating a tangible application of robotics in industrial automation. While his citation count is modest, his contribution lies in bridging theoretical robotics with hands-on prototyping, offering a clear example of how robotic arms can be programmed for visual recognition and sorting tasks. Suwastono’s work is particularly valuable for students and researchers interested in low-cost, educational robotics platforms and the integration of computer vision with robotic control. His research underscores the potential for simple, yet effective, automation solutions in developing industrial contexts.
Research Focus
Key Achievements
Top Papers
- 1