Papers
1
Total Citations
5
H-Index
1
About
Fabian Puller is a researcher at the forefront of self-organizing robotic construction, a field that reimagines how autonomous systems can collaboratively build physical structures without centralized control. His work addresses the fundamental challenges of stochasticity and unpredictability in multi-robot systems, where individual agents must coordinate through local interactions to achieve global construction goals. Puller’s most cited paper, “Using Interactive Evolution to Design Behaviors for Non-deterministic Self-organized Construction” (2018, 5 citations), introduces a novel approach that leverages evolutionary algorithms to iteratively refine robot behaviors, enabling them to adapt to the inherent randomness of on-site construction environments. This work bridges robotics and artificial life, offering a framework for designing robust, emergent behaviors in systems where outcomes cannot be predetermined. By tackling the modeling and prediction of structures built through self-organization, Puller contributes to a paradigm shift in construction robotics—moving from rigid, pre-programmed methods to adaptive, evolution-inspired strategies. His research holds promise for scalable, resilient automation in real-world construction, where uncertainty is the norm.
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