Dongying Tian

ORCID: 0000-0002-0413-1097
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About
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Research Areas
  • Human Pose and Action Recognition
  • Robot Manipulation and Learning
  • Hand Gesture Recognition Systems

Dalian University of Technology
2023

Successful grasp is an important and long-standing issue for robots to interact with the real world. Most recent studies have devoted more attention stable rather than functional grasp, which cannot guarantee task-oriented postgrasp manipulation. To achieve human-like a semantic representation of hand-object interaction introduced without labeling 3D hand poses, novel coarse-to-fine generation network designed model this interaction. First, coarse generated by combining global pose type....

10.1109/lra.2023.3264760 article EN IEEE Robotics and Automation Letters 2023-04-05
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