6IMPOSE: bridging the reality gap in 6D pose estimation for robotic grasping

6D pose recognition has been a crucial factor in the success of robotic grasping, and recent deep learning based approaches have achieved remarkable results on benchmarks. However, their generalization capabilities in real-world applications remain unclear. To overcome this gap, we introduce 6IMPOSE...

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Bibliographic Details
Main Authors: Hongpeng Cao, Lukas Dirnberger, Daniele Bernardini, Cristina Piazza, Marco Caccamo
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-09-01
Series:Frontiers in Robotics and AI
Subjects:
Online Access:https://www.frontiersin.org/articles/10.3389/frobt.2023.1176492/full