Azka Muji Burohman
Papers
3
Total Citations
30
H-Index
3
About
Azka Muji Burohman is a researcher specializing in multi-robot systems, with a primary focus on formation control, flocking, and collision avoidance for nonholonomic mobile robots. His work addresses fundamental challenges in coordinating groups of autonomous agents, ensuring they can move cohesively while safely navigating around obstacles and each other. Burohman’s most cited paper, “Polygon formation of multiple nonholonomic mobile robots with double-level-control collision avoidance scheme” (2022, 15 citations), introduces a novel double-level-control architecture that separates trajectory generation from tracking, enabling precise geometric formations around a target. His earlier research on flocking algorithms (2016, 10 citations) established smooth potential function protocols for velocity control, while his analysis of potential fields (2017, 5 citations) systematically compared methods for achieving circular formations. Collectively, his work has garnered over 30 citations, demonstrating its relevance to the growing field of swarm robotics. Burohman’s contributions are particularly valuable for applications in search-and-rescue, environmental monitoring, and automated warehouse logistics, where reliable multi-agent coordination is critical.
Research Focus
Key Achievements
Top Papers
- 1
- 2Flocking for nonholonomic robots with obstacle avoidance10 citations · 2016
- 3