Gleb Belov

Australian Regenerative Medicine Institute

Papers

Total Citations

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About

Gleb Belov is a researcher whose work bridges combinatorial optimization and real-world engineering, with a primary focus on multi-agent pathfinding (MAPF) and its innovative application to industrial pipe routing. His major contribution lies in extending the theoretical foundations of MAPF—traditionally used for coordinating robots in 2D environments—to the complex, 3D challenge of designing collision-free pipe networks in manufacturing and shipbuilding. This novel approach, detailed in his most-cited paper "From Multi-Agent Pathfinding to 3D Pipe Routing" (14 citations), demonstrates how algorithms for agent coordination can be repurposed to optimize spatial layouts, reducing manual design time and improving efficiency. Belov’s work is notable for its practical impact, translating abstract computational problems into tangible solutions for industry. His earlier position paper (4 citations) laid the groundwork for this interdisciplinary bridge, highlighting the potential of MAPF beyond robotics. By achieving this cross-domain translation, Belov has opened new avenues for applying AI-driven pathfinding to infrastructure design, making his research a valuable resource for students and engineers interested in the intersection of algorithms, automation, and real-world logistics.