Seongho Bak — accepted AI-conference papers

2024

Learning to Place Unseen Objects Stably Using a Large-Scale Simulation

Sangjun Noh, Raeyoung Kang, Taewon Kim, Seunghyeok Back, Seongho Bak, Kyoobin Lee

RA-L 2024

Object placement is a fundamental task for robots, yet it remains challenging for partially observed objects. Existing methods for object placement have limitations, such as the requirement for a complete 3D model of the object or the inability to handle complex shapes and novel objects that restric

Cited by 8 Source ↗code ↗Scholar ↗

2022

Unseen Object Amodal Instance Segmentation via Hierarchical Occlusion Modeling

Seunghyeok Back, Joosoon Lee, Taewon Kim, Sangjun Noh, Raeyoung Kang, Seongho Bak +1

ICRA 2022poster

Instance-aware segmentation of unseen objects is essential for a robotic system in an unstructured environment. Although previous works achieved encouraging results, they were limited to segmenting the only visible regions of unseen objects. For robotic manipulation in a cluttered scene, amodal perc…

Cited by 80 Source ↗code ↗Scholar ↗