Yotto Koga

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About

Yotto Koga is a leading researcher at the intersection of robotic assembly, construction automation, and computer-aided design (CAD). His work focuses on bridging the gap between digital design and physical construction, enabling robots to autonomously assemble complex structures with minimal human intervention. Koga’s major contributions include pioneering interlocking block assembly, where he developed algorithms that allow robots to construct kinematically interlocked structures—ensuring stability during and after assembly with only a few immobilized blocks. His 2021 paper on this topic has garnered 16 citations, highlighting its foundational impact. He further advanced the field with a CAD-informed adaptive robotic assembly system (2022, 8 citations), which streamlines the design-to-make workflow by capturing assembly intent directly from CAD models. More recently, Koga has explored adaptive robotic construction of wood frames (2024, 4 citations) and generalizable pose estimation using implicit scene representations (2023, 2 citations), addressing key challenges in robotic manipulation and object recognition. His work is notable for its practical applications in construction and manufacturing, offering scalable, adaptive solutions that push the boundaries of what robots can build.