C. Marangoni
Papers
1
Total Citations
2
H-Index
1
About
C. Marangoni is a forward-thinking researcher at the intersection of architecture, robotics, and computational design. Their key research areas include simulation-assisted design space exploration, indoor robotics networks, and the integration of static architectural optimization with dynamic simulation. Marangoni’s major contribution lies in developing frameworks that bridge the gap between architectural design and robotic functionality—enabling buildings to be optimized not just for human use but for seamless interaction with autonomous systems. Their most cited work, “Toward Simulation-Assisted Architecture Design Space Exploration of Indoor Robotics Networks” (2024), proposes a novel method that uses abstract component models and constraint-driven exploration to narrow vast design possibilities into a few high-potential solutions, which are then rigorously evaluated through simulation. This approach has significant implications for smart buildings, logistics, and healthcare environments where robots and humans share space. With 2 citations already in its first year, the paper signals growing interest in this interdisciplinary niche. Marangoni’s work is particularly notable for its practical orientation—aiming to give architects and engineers a computational toolset to proactively design for robotic coexistence, rather than retrofitting spaces later. Their research is essential reading for anyone interested in the future of intelligent, robot-ready architecture.
Research Focus
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Top Papers
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