Maximilian Mordig
Papers
1
Total Citations
3
H-Index
1
About
Maximilian Mordig is a researcher whose work lies at the intersection of stochastic processes, robotics, and complex systems. His primary research focus is on the probabilistic modeling and control of programmable self-assembly, particularly for robotic modules. Mordig’s major contribution is developing rigorous mathematical frameworks to describe and predict the behavior of stochastically self-assembling systems—a critical step toward enabling both centralized and distributed control strategies for these emergent structures. His most-cited work, "Probabilistic modeling of programmable stochastic self-assembly of robotic modules" (2017), has garnered 3 citations and provides a foundational comparative study of modeling approaches for such systems. By addressing the inherent randomness in self-assembly, Mordig’s research paves the way for more reliable and scalable robotic swarms. His achievements include advancing the theoretical underpinnings of modular robotics, offering insights that bridge statistical physics and engineering. For students and researchers, Mordig’s work is a key resource for understanding how to tame stochasticity in self-organizing systems, making his contributions both niche and impactful in the broader field of programmable matter.
Research Focus
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Top Papers
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