David A. Arroyo
Papers
1
Total Citations
4
H-Index
1
About
David A. Arroyo is a researcher whose work lies at the intersection of artificial intelligence, autonomous agent control, and simulation-based learning environments. His most-cited paper, "The Xpilot-AI environment" (2010, 4 citations), addresses a fundamental challenge in AI research: the difficulty of obtaining sufficient test data to evaluate new learning systems for agent control. Arroyo recognized that testing on actual robots is often cost-prohibitive and slowed by long development cycles, and his contribution provided a robust simulation platform that enables researchers to develop and benchmark autonomous agents more efficiently. This work has been influential in advancing methods for reinforcement learning and agent behavior in complex, dynamic environments. While his citation count reflects a focused, niche impact, Arroyo’s environment has served as a practical tool for those exploring scalable AI testing. His research underscores the importance of accessible simulation in accelerating progress toward more capable, real-world autonomous systems—a cornerstone for students and researchers working at the frontier of intelligent agent design.
Research Focus
Key Achievements
Top Papers
- 1The Xpilot-AI environment4 citations · 2010