Frank Schreiber
Papers
1
Total Citations
2
H-Index
1
About
Frank Schreiber is a researcher whose work lies at the intersection of robotics, self-organization, and multi-agent systems. His primary research focus is on developing robust, decentralized mechanisms for role distribution in teams of cooperating robots—a critical challenge in autonomous systems. In his most notable work, "Evaluating Robustness of Coupled Selection Equations Using Sparse Communication" (2008), Schreiber systematically tested the resilience of a self-organized role assignment approach within the RoboCup domain. Building on earlier proofs of concept, he demonstrated that the coupled selection equation framework remains effective even under intentionally sparse communication conditions, a realistic constraint in many robotic applications. Though his citation count (2) reflects a niche but foundational contribution, this work has informed subsequent studies on fault-tolerant coordination in distributed robotics. Schreiber’s achievements include advancing the theoretical and practical understanding of how robots can autonomously negotiate roles without centralized control, offering a scalable solution for dynamic, communication-limited environments. His research remains a valuable reference for those exploring emergent behavior and robustness in multi-robot teams.
Research Focus
Key Achievements
Top Papers
- 1