Gyuho Eoh — accepted AI-conference papers

2026

Cascading Velocity Modulation for Multi-Agent Path Finding Execution

SeungHyun Park, Jae Hong Shim, Gyuho Eoh

ICRA 2026poster

Multi-Agent Path Finding (MAPF) plans are increasingly deployed on real multi-robot fleets, where communication dropouts, actuator faults, and sensor noise routinely cause individual robots to deviate from the planned trajectory. We propose Cascading Velocity Modulation (CVM), a continuous execution…

Cited by 0 Scholar ↗

2024

CLOi-Mapper: Consistent, Lightweight, Robust, and Incremental Mapper With Embedded Systems for Commercial Robot Services

DongKi Noh, Hyungtae Lim, Gyuho Eoh, Duckyu Choi, Jeongsik Choi, Hyunjun Lim +2

RA-L 2024

In commercial autonomous service robots with several form factors, simultaneous localization and mapping (SLAM) is an essential technology for providing proper services such as cleaning and guidance. Such robots require SLAM algorithms suitable for specific applications and environments. Hence, seve

Cited by 3 Source ↗Scholar ↗