Achmad Akmal Fikri
State University of Semarang, Universitas Negeri Surabaya, Kumamoto University
Papers
3
Total Citations
6
H-Index
2
About
Achmad Akmal Fikri is a robotics researcher specializing in autonomous navigation, simultaneous localization and mapping (SLAM), and multi-robot coordination. His work focuses on enabling robots to perceive and understand their environments, a fundamental challenge in autonomous systems. Fikri’s early contributions include designing mapping and positioning systems for omnidirectional robots using LiDAR-based SLAM, as detailed in his 2021 papers, which have garnered early citations for addressing core navigation weaknesses. His most notable achievement is the introduction of **B-FAME**, an adaptive area division algorithm for multi-robot exploration and mapping (2025). This algorithm tackles critical challenges in multi-robot systems—balancing workloads, reducing redundancy, and maintaining connectivity—to improve exploration efficiency and reliability. Though his citation counts are currently modest (3, 2, and 1 for his top papers), his work on B-FAME represents a significant step forward in collaborative robotics, offering a practical solution to coordination problems. Fikri’s research is particularly relevant for students and engineers interested in SLAM, autonomous navigation, and multi-robot systems, as it bridges theoretical algorithms with real-world robotic applications.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3