M. Ghozy Nurcahyadi
Papers
1
Total Citations
9
H-Index
1
About
M. Ghozy Nurcahyadi is a robotics researcher whose work centers on multi-robot systems, coordination algorithms, and swarm intelligence. His most cited paper, "A Multi-robot System Coordination Design and Analysis on Wall Follower Robot Group" (2018, 9 citations), introduces a novel approach to formation control where robots adapt their spatial arrangement based on environmental constraints. In this work, a leader robot follows the right wall while the group moves sequentially when space is limited, demonstrating practical coordination in confined workspaces. This contribution addresses fundamental challenges in decentralized robot teaming, particularly for inspection and exploration tasks. Nurcahyadi's research has implications for warehouse automation, search-and-rescue operations, and industrial robotics, where efficient multi-robot coordination is critical. His work on wall-following formations provides a scalable framework for real-world deployment, balancing simplicity with robustness. By focusing on adaptive leader-follower dynamics, he has advanced the understanding of how robot groups can autonomously reconfigure in response to changing environments. Nurcahyadi's contributions continue to influence the development of intelligent, cooperative robotic systems.
Research Focus
Key Achievements
Top Papers
- 1