Papers
2
Total Citations
18
H-Index
2
About
Haeyeon Gim is a robotics researcher whose work focuses on advancing autonomous navigation and sensor perception for mobile robots. Her key contributions lie in developing robust obstacle avoidance systems and evaluating sensor technologies for real-world robotic applications. In her highly cited 2021 paper, Gim introduced an autonomous navigation system that leverages a 2.5D map generated from point cloud data, enabling safe driving in complex, obstacle-dense environments—a critical step toward deploying robots in crowded public spaces. Her 2022 study provides a measurable capability comparison of lidar and radar sensors, offering practical guidance for selecting the right sensor for navigation and collision avoidance tasks. With over 18 citations across her most notable works, Gim’s research has already influenced the design of safer, more reliable autonomous systems. Her work bridges the gap between sensor theory and application, making her a valuable voice in the robotics community. For students and researchers exploring autonomous mobility, Gim’s papers offer clear, actionable insights into building robots that can navigate the unpredictable real world.
Research Focus
Key Achievements
Top Papers
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