Kevin Harsono
Papers
1
Total Citations
2
H-Index
1
About
Kevin Harsono is a forward-thinking researcher at the intersection of sustainable architecture, modular design, and robotic construction. His work centers on developing discrete modular systems that integrate combinatorial design, topological interlocking, and machine learning to revolutionize building assembly. Harsono’s major contribution is the SL-Block system—a novel approach using S and L-shaped tetracubes that enable self-interlocking, reconfigurable structures. By combining tactile sensor-based robotic assembly with computational design, he advances automation in construction, reducing waste and increasing efficiency. His 2024 paper, “Advancing Sustainable Construction: Discrete Modular Systems & Robotic Assembly,” has already garnered early citations, signaling growing interest in his methodology. Harsono’s research bridges architecture, robotics, and material science, offering a scalable path toward sustainable, adaptive building practices. His work stands out for its practical integration of AI and sensing technologies, positioning him as an emerging leader in smart construction and digital fabrication.
Research Focus
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Top Papers
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