Rowan Border

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About

Rowan Border is a leading researcher in autonomous 3D scene understanding and robotic perception, with a core focus on Next Best View (NBV) planning. His most significant contribution is the development of the Surface Edge Explorer (SEE), a groundbreaking approach that plans sensor views directly from raw 3D observations—bypassing traditional volumetric representations. This work, first published in 2018 and refined in 2024, has garnered nearly 50 citations, establishing Border as a key innovator in efficient, real-world 3D scanning. By enabling robots to autonomously decide where to look next based on surface discontinuities, SEE dramatically improves the speed and quality of 3D reconstructions for applications ranging from small-scale 3D printing to large-scale infrastructure inspection. His 2019 paper further advanced the field by exploring unstructured representations for NBV planning. Border’s research directly addresses the critical challenge of autonomous data acquisition, making high-fidelity 3D modeling more practical and accessible for robotics and computer vision.