Alena D. Bugrova
Papers
1
Total Citations
6
H-Index
1
About
Alena D. Bugrova is a researcher specializing in environmental robotics and autonomous navigation, with a focus on nonholonomic systems operating in dynamic, resistant media such as water or air. Her major contribution lies in developing nongradient-based tracking algorithms for environmental field isolines—critical for monitoring phenomena like contaminant spread or thermal gradients. In her most-cited work (2023, 6 citations), she addresses the challenge of guiding Dubins-vehicle type robots to trace the boundary of a moving spatial phenomenon, such as a critically contaminated area, without relying on gradient information. This approach is particularly valuable in changing environments where traditional gradient-based methods fail, offering robust solutions for real-time environmental monitoring and disaster response. Bugrova’s research bridges control theory and practical robotics, enabling autonomous systems to adaptively track dynamic fields. Her work has implications for ecological surveillance, pollution control, and search-and-rescue operations, marking her as an emerging voice in field robotics. With a focus on overcoming constraints of nonholonomic motion in unpredictable media, Bugrova’s contributions advance the frontier of autonomous environmental sensing.
Research Focus
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Top Papers
- 1