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

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