Papers
2
Total Citations
31
H-Index
2
About
Geonhee Sim is a robotics researcher whose work centers on making mobile robot technology more practical, accessible, and cost-effective for real-world applications. Sim's primary contributions lie in the development of low-cost indoor mobile robot platforms and efficient real-time navigation systems, with a particular focus on leveraging RGB-D cameras as affordable alternatives to expensive sensor suites traditionally required in robotic systems. Sim's most notable achievement is the development of an open-source, low-cost mobile robot platform paired with an efficient real-time navigation algorithm, published in 2022 and accumulating 28 citations — a strong indicator of its impact and utility within the robotics community. This work directly addresses two persistent barriers in practical robotics deployment: prohibitive hardware costs and excessive power consumption. Building on earlier foundational work published in 2021, Sim has demonstrated a consistent research trajectory aimed at democratizing mobile robotics technology. By open-sourcing these systems, Sim has made meaningful contributions not just to academic research but to the broader robotics community, enabling students, engineers, and developers worldwide to build upon these platforms. This focus on accessibility and practicality distinguishes Sim as a researcher with both technical depth and a clear vision for real-world impact.
Research Focus
Key Achievements
Top Papers
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