Hyelim Choi

Papers

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About

Hyelim Choi is a rising researcher at the intersection of robotics, control systems, and computer vision, with a focus on enabling precise and intelligent manipulation in complex, unstructured environments. Her most impactful work, "Precision Motion Control of Robotized Industrial Hydraulic Excavators via Data-Driven Model Inversion" (2022, 44 citations), introduces a novel framework that uses physics-inspired data-driven model inversion to overcome the challenges of input delays and dead-zones in heavy machinery. This contribution represents a significant step toward automating construction and excavation tasks, blending classical control theory with modern machine learning. Choi has also advanced the field of 3D perception with her work on "Online 3D Edge Reconstruction of Wiry Structures From Monocular Image Sequences" (2023), which tackles the difficult problem of reconstructing thin, textureless objects like cables and wires—critical for robotic manipulation and infrastructure inspection. Additionally, her survey on "Hand Tracking" (2024) provides a comprehensive overview of a key area in human-robot interaction. Through these diverse contributions, Choi demonstrates a talent for applying data-driven methods to solve real-world robotic challenges, establishing herself as a versatile and promising voice in modern robotics engineering.