S. Landsberger
Papers
3
Total Citations
51
H-Index
3
About
S. Landsberger is a pioneering researcher in the intersection of robotics and nuclear science, focusing on autonomous systems for hazardous environments. Their major contributions lie in developing mobile robotic platforms for radiation surveying and high-precision nondestructive testing (NDT). In their most-cited work, "Mobile Robotic Radiation Surveying With Recursive Bayesian Estimation and Attenuation Modeling" (2020, 28 citations), Landsberger introduced a novel approach that uses recursive Bayesian estimation and attenuation modeling to enable robots to perform routine and emergency radiation surveys, significantly reducing human exposure to dangerous doses. This work addresses a critical gap in incident response, where radiation levels prohibit human presence. Additionally, their 2017 paper on "Automating High-Precision X-Ray and Neutron Imaging Applications With Robotics" (20 citations) details a collaborative system between Los Alamos National Laboratory and the University of Texas at Austin, achieving accurate, repeatable measurements for complex parts. Landsberger has also explored theoretical neutron damage in industrial manipulators (2016), laying groundwork for robust robotic design in imaging applications. With a growing citation impact, Landsberger’s research is vital for advancing safety and automation in nuclear environments, offering practical solutions for both routine operations and emergency scenarios.
Research Focus
Key Achievements
Top Papers
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