Natasha Botha

Council for Scientific and Industrial Research, CSIRO Manufacturing

Papers

Total Citations

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About

Natasha Botha is a robotics researcher whose work focuses on equipping mobile and aerial robots with the spatial intelligence needed to navigate and operate effectively in indoor environments. Her primary research areas include visual place recognition, place classification, and the design of aerial robotic platforms for industrial applications. Botha’s major contributions lie in advancing how robots perceive and interpret their surroundings. Her most-cited paper, "A comparison of visual place recognition methods using a mobile robot in an indoor environment" (2023, 3 citations), systematically evaluates deep learning techniques for robot localization, a critical first step for context-aware services. She further extends this work in "Enhancing indoor place classification for mobile robots using RGB-D data and deep learning architectures" (2024, 2 citations), demonstrating how robots can make high-level decisions by identifying their operational context, much like human situational awareness. Additionally, her prototype design of an aerial robotic platform (2023, 2 citations) addresses practical challenges in warehouse stocktaking, where ground robots fall short. Though early in her career, Botha’s research is foundational for creating more autonomous, intelligent robotic systems for real-world indoor settings.