Noah Maze
Papers
1
Total Citations
7
H-Index
1
About
Noah Maze is a researcher specializing in distributed multi-agent systems, robotics, and autonomous exploration. His work focuses on developing cost-effective, scalable platforms for studying coordination and mobility in multi-agent networks. Maze’s most cited paper, “A Lego Mindstorms NXT-Based Test Bench for Cohesive Distributed Multi-agent Exploratory Systems: Mobility and Coordination” (2012, 7 citations), introduces an innovative computer-based test bench that controls multiple low-cost Lego Mindstorms NXT kits via Bluetooth. This approach significantly reduces the time and expense typically associated with testing distributed exploratory algorithms, making it accessible for broader research and educational use. By demonstrating that affordable, off-the-shelf hardware can effectively model complex multi-agent behaviors, Maze has contributed a practical tool for advancing studies in swarm robotics and cooperative exploration. His work underscores the value of accessible experimental platforms in bridging theoretical research and real-world implementation, offering a valuable resource for students and researchers seeking hands-on methods to explore distributed systems.
Research Focus
Key Achievements
Top Papers
- 1