Jihyun Moon — accepted AI-conference papers

2025

Real-Time Excavation Trajectory Modulation for Slip and Rollover Prevention

Changu Kim, Bukun Son, Minhyeong Lee, Hyelim Choi, Seokhyun Hong, Minsung Kang +3

RA-L 2025

We propose a novel real-time excavation trajectory modulation framework on a slope for an autonomous excavator with a low-level digital kinematic control as common for hydraulic industrial excavators. Excavation on a slope is challenging because of a higher risk of slips and rollovers. To deal with

Cited by 0 Source ↗Scholar ↗

2022

Precision Motion Control of Robotized Industrial Hydraulic Excavators via Data-Driven Model Inversion

Minhyeong Lee, Hyelim Choi, Changu Kim, Jihyun Moon, Dongmok Kim, Dongjun Lee

RA-L 2022

This work proposes a novel precision motion control framework of robotized industrial hydraulic excavators via data-driven model inversion. Rather than employing a single neural network to approximate the whole excavator dynamics, including input delays and dead-zones, we construct a physics-inspire

Cited by 39 Source ↗Scholar ↗