Katie Laventall
Stanford University, Vaughn College of Aeronautics and Technology
Papers
2
Total Citations
143
H-Index
2
About
Katie Laventall is a leading researcher in multi-robot systems, with a primary focus on coverage control and distributed sensing networks. Her major contributions lie in developing theoretical frameworks for deploying robotic agents equipped with limited-range communication and anisotropic sensory capabilities—sensors that perceive the environment differently depending on orientation. Laventall pioneered the use of expected-value objective functions to encode and optimize environmental coverage, addressing the challenge of gradients that are not amenable to standard control methods. Her most-cited work, "Coverage control by multi-robot networks with limited-range anisotropic sensory" (2009), has garnered 96 citations, while a closely related 2008 paper has earned 47 citations, underscoring the lasting influence of her research. These foundational studies have advanced the practical deployment of robotic networks in complex, real-world environments where communication and sensing are constrained. Laventall's work is essential reading for students and researchers in robotics and distributed control, offering elegant solutions to the problem of coordinating multiple agents to achieve optimal spatial coverage.
Research Focus
Key Achievements
Top Papers
- 1
- 2Coverage control by robotic networks with limited-range anisotropic sensory47 citations · 2008