Sanghyun Joo — accepted AI-conference papers

2024

Dynamic Crane Scheduling with Reinforcement Learning for a Steel Coil Warehouse

Sang-Hyun Cho, Woo-Jin Shin, Jeongsun Ahn, Sanghyun Joo, Hyun-Jung Kim

ICRA 2024poster

This paper tackles the dynamic crane scheduling problem in a steel coil warehouse, involving tasks such as coil storage, retrieval, and shuffling. Tasks arrive dynamically with precedence relations, while multiple cranes share a track, necessitating collision avoidance. We aim to minimize the averag…

Cited by 3 Source ↗Scholar ↗

2023

A Light-Weight, Low-Cost, and Sustainable Planning System for UAVs Using a Local Map Origin Update Approach

Dasol Lee, Jinche La, Sanghyun Joo

IROS 2023poster

This paper proposes a sustainable planning system for small-sized unmanned aerial vehicles (UAVs). Our mapping module of the system uses a voxel array as data structure with an introduced feature which is local map origin update. This approach has clear advantages that the planning system can sustai…

Cited by 3 Source ↗Scholar ↗