Norman Sudira
Papers
1
Total Citations
6
H-Index
1
About
Norman Sudira is a robotics and embedded systems researcher whose work focuses on industrial automation and intelligent object handling. His most-cited paper, "Design of pick and place robot with identification and classification object based on RFID using STM32VLDISCOVERY" (2017, 6 citations), introduces a robotic system that combines pick-and-place mechanisms with RFID-based object identification and classification. This contribution addresses a key challenge in modern manufacturing: enabling production lines to efficiently handle diverse product types without manual intervention. By integrating the STM32VLDISCOVERY microcontroller, Sudira demonstrates how low-cost embedded platforms can power sophisticated sorting and displacement tasks. His research bridges the gap between theoretical robotics and practical industrial applications, offering a scalable solution for smart factories. While his citation count reflects a focused, early-career impact, the work’s relevance to Industry 4.0 and automated logistics underscores its value. Sudira’s approach—merging sensor-based identification with precise mechanical control—provides a foundation for future advancements in adaptive robotics, making his contributions a useful reference for students and engineers exploring cost-effective automation.
Research Focus
Key Achievements
Top Papers
- 1