Charles D. Eggleton
Papers
1
Total Citations
6
H-Index
1
About
Charles D. Eggleton is a researcher in robotics and autonomous systems, with a focus on multi-robot coordination and exploration. His key contributions lie in developing efficient strategies for cooperative robot teams operating in unknown environments. His most-cited work, "Cooperative Robot Exploration Strategy Using an Efficient Backtracking Method for Multiple Robots" (2018, 6 citations), introduces a novel approach that leverages the sensor-based random tree (SRT) star method to improve frontier-based exploration. By addressing the inefficiencies of traditional backtracking techniques, Eggleton’s strategy enables multiple robots to collaboratively map and explore spaces with greater speed and reduced redundancy. This work has been recognized for its practical implications in search-and-rescue, environmental monitoring, and autonomous mapping. Eggleton’s research bridges theoretical algorithm design and real-world robotic applications, offering scalable solutions for teams of mobile robots equipped with range-finding sensors. His contributions continue to influence the development of more intelligent and cooperative autonomous systems, making him a notable figure in the field of multi-robot exploration.
Research Focus
Key Achievements
Top Papers
- 1