D
Di Guo
Researcher at Tsinghua University
Publications - 100
Citations - 1488
Di Guo is an academic researcher from Tsinghua University. The author has contributed to research in topics: Computer science & Robot. The author has an hindex of 16, co-authored 77 publications receiving 941 citations. Previous affiliations of Di Guo include Dalian University of Technology & University of Hong Kong.
Papers
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Journal ArticleDOI
Object Recognition Using Tactile Measurements: Kernel Sparse Coding Methods
Huaping Liu,Di Guo,Fuchun Sun +2 more
TL;DR: A joint kernel sparse coding model is developed to solve the multifinger tactile sequence classification problem, and the experimental results show that the joint sparse coding achieves better performance than conventional sparse coding.
Proceedings ArticleDOI
A hybrid deep architecture for robotic grasp detection
TL;DR: A hybrid deep architecture combining the visual and tactile sensing for robotic grasp detection is proposed and it is demonstrated that the visual sensing and tactile sensed are complementary to each other and important for the robotic grasping.
Journal ArticleDOI
Extreme Kernel Sparse Learning for Tactile Object Recognition
TL;DR: To tackle the intrinsic difficulties which are introduced by the representer theorem, a reduced kernel dictionary learning method is developed by introducing row-sparsity constraint and a globally convergent algorithm is developed to solve the optimization problem.
Journal ArticleDOI
Survey of imitation learning for robotic manipulation
TL;DR: The survey of imitation learning of robotic manipulation involves three aspects that are demonstration, representation and learning algorithms and highlights areas of future research potential.
Journal ArticleDOI
Weakly Paired Multimodal Fusion for Object Recognition
TL;DR: A novel projective dictionary learning framework for weakly paired multimodal data fusion is established by introducing a latent pairing matrix, which realizes the simultaneous dictionary learning and the pairing matrix estimation, and therefore improves the fusion effect.