Eric Hammon
Papers
1
Total Citations
2
H-Index
1
About
Eric Hammon is a pioneer in the integration of fuzzy logic and neural network technologies for autonomous robotic navigation. His most-cited work, “An intelligent robot vision for autonomous navigation” (2002), details the vision system of a go-cart-sized autonomous vehicle that successfully navigated a complex obstacle course at an international competition in Disney World in 1996. This early demonstration of intelligent, real-time vision control laid foundational groundwork for modern autonomous systems. While his citation count remains modest, Hammon’s contribution is notable for its practical, competition-validated proof-of-concept at a time when autonomous navigation was still nascent. His research sits at the intersection of computer vision, fuzzy control, and neural networks—a combination that foreshadowed many later advances in field robotics. For students and researchers exploring the history of autonomous navigation, Hammon’s work offers a clear, early example of how hybrid AI techniques could be deployed in real-world, unstructured environments.
Research Focus
Key Achievements
Top Papers
- 1An intelligent robot vision for autonomous navigation2 citations · 2002