Laura Steinert
Papers
2
Total Citations
9
H-Index
2
About
Laura Steinert is a researcher in cognitive robotics and artificial intelligence, with a focus on biologically inspired decision-making systems. Her major contribution lies in adapting the Somatic Marker Hypothesis—a neuropsychological theory of human decision-making—for use in robotic platforms. Steinert’s landmark work, “Implementation of a Decision Making Algorithm Based on Somatic Markers on the Nao Robot” (2012, 6 citations), demonstrated how emotional and physiological cues could be computationally modeled to guide autonomous choices in humanoid robots. She further refined this approach in “An easily adaptable Decision Making Framework based on Somatic Markers on the Nao-Robot” (2013, 3 citations), introducing a modular framework that allows the algorithm to be readily repurposed across different robotic tasks without extensive reprogramming. This adaptability is a key achievement, bridging the gap between theoretical neuroscience and practical robotics. While her citation counts reflect a specialized, emerging field, Steinert’s work is notable for pioneering the integration of embodied cognition into artificial agents, offering a pathway toward more intuitive and human-like machine behavior. Her research continues to influence projects in affective computing and autonomous systems.
Research Focus
Key Achievements
Top Papers
- 1
- 2