Max Robotics — Global Service Robot Directory + US Certification

About

Anastassia Kuestenmacher is a leading researcher in the field of autonomous robotics, with a primary focus on enhancing the reliability and robustness of domestic service robots. Her work centers on fault diagnosis and handling, particularly addressing the challenge of *external faults*—unforeseen environmental deviations that can derail a robot’s task execution even when its internal components function perfectly. Her major contributions include pioneering the use of "naive physics" to model and predict unexpected object behaviors, and developing simulation-based approaches to proactively avoid such failures. Kuestenmacher has also advanced model-based fault diagnosis techniques, systematically comparing novel methods to create more resilient autonomous agents. Her most-cited paper, "Towards Robust Task Execution for Domestic Service Robots" (16 citations), lays the groundwork for this critical area. Notably, her 2016 work on model-based fault diagnosis was supported by the B-IT foundation and the Strukturfond des Landes Nordrhein-Westfalen, highlighting her recognized potential. By integrating symbolic and geometric precondition models, she has significantly improved the reliability of service robots, ensuring they can navigate and manipulate their environments with greater autonomy and safety.