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GPDAN: Grasp Pose Domain Adaptation Network for Sim-to-Real 6-DoF Object Grasping.
Liming Zheng
Wenxuan Ma
Yinghao Cai
Tao Lu
Shuo Wang
Published in:
IEEE Robotics Autom. Lett. (2023)
Keyphrases
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domain adaptation
human hand
d objects
pose estimation
cross domain
semi supervised
labeled data
degrees of freedom
manifold alignment
transfer learning
multiple sources
document classification
object recognition
target domain
test data
data sets
sentiment classification
multi view
knn
covariate shift