Aulia Aditya Rachman
Papers
1
Total Citations
6
H-Index
1
About
Aulia Aditya Rachman is a robotics researcher whose work centers on motion planning and simulation for autonomous robotic systems, with a particular emphasis on holonomic robot platforms for competitive soccer applications. His most cited paper, "Motion planning simulator for holonomic robot soccer platform" (2017, 6 citations), introduces a cross-platform simulator designed for a self-built holonomic wheeled robot, adhering to the specifications of the Middle Sized League RoboCup rules. This contribution is notable for its practical utility in multi-operating system environments (Windows, Mac, Linux), enabling researchers and students to develop and test motion planning algorithms without requiring physical hardware. Rachman’s work addresses a critical gap in accessible simulation tools for RoboCup, a premier international robotics competition, thereby supporting the broader goal of advancing autonomous multi-agent coordination. His research has implications for real-time decision-making and control in dynamic, adversarial settings, making it a valuable resource for those studying robotics, artificial intelligence, and mechatronics. While his citation count reflects a focused but emerging impact, his simulator stands as a practical tool for education and prototyping in the field.
Research Focus
Key Achievements
Top Papers
- 1Motion planning simulator for holonomic robot soccer platform6 citations · 2017