Didik Khusnul Arif
Papers
1
Total Citations
3
H-Index
1
About
Didik Khusnul Arif is a researcher focused on multi-robot systems, control theory, and state estimation. His work addresses the challenges of cooperative motion in unknown environments, where groups of robots must dynamically coordinate using only local neighbor information. His most cited paper, "Formation Control of Multi-robot Motion Systems and State Estimation using Extended Kalman Filter" (2019), introduces a framework that combines formation control with the Extended Kalman Filter to improve state estimation and trajectory tracking for multi-robot teams. This contribution is critical for applications in autonomous exploration, search-and-rescue, and distributed sensing. While his citation count is still growing, Arif’s research lays important groundwork for scalable, robust multi-agent coordination. His work is particularly notable for integrating estimation theory directly into the control loop, enabling robots to maintain formation even under sensor noise and uncertainty. As the field of swarm robotics advances, Arif’s contributions offer a solid foundation for students and researchers interested in the intersection of control systems, estimation, and cooperative autonomy.
Research Focus
Key Achievements
Top Papers
- 1