Aditya Prima Suparno
Papers
1
Total Citations
2
H-Index
1
About
Aditya Prima Suparno is a researcher whose work centers on robotics, trajectory planning, and autonomous navigation, with a particular focus on obstacle avoidance and multi-robot formation control. His most cited paper, "SIMULASI TRAJECTORY PLANNING DAN PEMBENTUKAN FORMASI PADA ROBOT OBSTACLE AVOIDANCE" (2015), explores how intelligent systems can enhance the stability and precision of defense technologies, such as combat vehicles used by cavalry battalions. This work simulates the coordination of robot formations while navigating dynamic environments, contributing to the development of more autonomous and reliable robotic systems for high-stakes applications. Although his citation count is modest—with 2 citations for his leading paper—Suparno’s research addresses critical challenges in military robotics and autonomous vehicle coordination. His contributions underscore the importance of integrating trajectory planning with formation control to improve operational efficiency and safety in obstacle-rich settings. For students and researchers interested in the intersection of robotics, defense technology, and autonomous systems, Suparno’s work offers a foundational perspective on how simulation-based approaches can advance real-world robotic capabilities.
Research Focus
Key Achievements
Top Papers
- 1