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pro vyhledávání: '"Lee, Joosoon"'
The study addresses the foundational and challenging task of peg-in-hole assembly in robotics, where misalignments caused by sensor inaccuracies and mechanical errors often result in insertion failures or jamming. This research introduces PolyFit, re
Externí odkaz:
http://arxiv.org/abs/2312.02531
Autor:
Back, Seunghyeok, Lee, Sangbeom, Kim, Kangmin, Lee, Joosoon, Shin, Sungho, Maeng, Jemo, Lee, Kyoobin
Accurate and efficient segmentation of unknown objects in unstructured environments is essential for robotic manipulation. Unknown Object Instance Segmentation (UOIS), which aims to identify all objects in unknown categories and backgrounds, has beco
Externí odkaz:
http://arxiv.org/abs/2306.16132
Deep learning has achieved outstanding performance for face recognition benchmarks, but performance reduces significantly for low resolution (LR) images. We propose an attention similarity knowledge distillation approach, which transfers attention ma
Externí odkaz:
http://arxiv.org/abs/2209.14498
Autor:
Back, Seunghyeok, Lee, Joosoon, Kim, Taewon, Noh, Sangjun, Kang, Raeyoung, Bak, Seongho, Lee, Kyoobin
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 robo
Externí odkaz:
http://arxiv.org/abs/2109.11103
Understanding assembly instruction has the potential to enhance the robot s task planning ability and enables advanced robotic applications. To recognize the key components from the 2D assembly instruction image, We mainly focus on segmenting the spe
Externí odkaz:
http://arxiv.org/abs/2101.02509
Autor:
Back, Seunghyeok, Lee, Sangbeom, Kim, Kangmin, Lee, Joosoon, Shin, Sungho, Maeng, Jaemo, Lee, Kyoobin
Efficient and accurate segmentation of unseen objects is crucial for robotic manipulation. However, it remains challenging due to over- or under-segmentation. Although existing refinement methods can enhance the segmentation quality, they fix only mi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2d2f21cf6fba3e12d84f8c330009b40a
http://arxiv.org/abs/2306.16132
http://arxiv.org/abs/2306.16132