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Huanliang Luo

2 accepted papers

2024

A Sim-to-Real Instance Segmentation Framework for Densely Stacked Cartons

RA-L 2024

Robotic picking systems in automated logistics require accurate segmentation and localization of densely stacked cartons. However, the lack of comprehensive and diverse datasets for this task poses a significant challenge. Furthermore, existing instance segmentation methods struggle to meet the accu

Cited by 1SourceScholar
2024

Transformable Inspection Robot Design and Implementation for Complex Pipeline Environment

RA-L 2024

Pipeline inspections are crucial to ensure the reliability of the transmission system. However, with the growing complexity and aging of the pipe system, traditional pipeline inspection robots struggle to adapt to complex environments with obstacles, cracks, changing cross-section, and other challen

Cited by 6SourceScholar