Trevor T. Ashley
Papers
1
Total Citations
14
H-Index
1
About
Trevor T. Ashley is a researcher in autonomous robotics and control systems, with a focus on source-seeking and environmental exploration using nonholonomic extremum seeking methods. His work addresses the challenge of enabling robots to autonomously navigate unknown environments by treating them as scalar potential fields, where robots measure gradients—such as radiation, temperature, or gas concentrations—to guide their movement. His most-cited paper, "Tracking a Diffusing Three-Dimensional Source via Nonholonomic Extremum Seeking" (2017), with 14 citations, introduces a novel approach for robots to track diffusing sources in 3D space, a critical capability for applications like disaster response, environmental monitoring, and hazardous material detection. This contribution is notable for its practical implications in real-world scenarios where precise localization of emissions is essential. Ashley’s research bridges theoretical control theory and applied robotics, offering scalable solutions for multi-robot systems. His work has influenced subsequent studies in autonomous exploration and adaptive navigation, making him a key figure in advancing robotic autonomy for complex, unstructured environments.
Research Focus
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Top Papers
- 1