Fadhil Hidayat
Papers
1
Total Citations
4
H-Index
1
About
Fadhil Hidayat is a robotics researcher focused on multi-robot systems, simultaneous localization and mapping (SLAM), and distributed estimation. His most-cited work, "Distributed Multi Robot Simultaneous Localization and Mapping with Consensus Particle Filtering" (2017, 4 citations), introduces a novel approach where groups of robots collaboratively build global maps of unknown environments using only their own local observations. The key innovation lies in applying consensus particle filtering to compute joint probabilities in a fully distributed manner, eliminating the need for a central processing unit. This allows each robot to maintain its own global map while achieving agreement across the team—a significant step toward scalable, robust multi-robot exploration. Hidayat’s contributions address fundamental challenges in decentralized robotics, such as communication constraints and map consistency. While his citation count is modest, his work lays important groundwork for autonomous systems operating in GPS-denied or hazardous environments. For students and researchers in robotics, Hidayat’s research offers a clear example of how distributed algorithms can enable collective intelligence in robot teams, with potential applications in search-and-rescue, planetary exploration, and industrial automation.
Research Focus
Key Achievements
Top Papers
- 1