Xingshuo Jing

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研究焦点

主要成就

代表论文

1. 1
   Grasp Pose Detection with Affordance-based Task Constraint Learning in Single-view Point Clouds

   33 次引用 · 2020
2. 2
   Skill generalization of tubular object manipulation with tactile sensing and Sim2Real learning

   30 次引用 · 2022
3. 3
   Unsupervised Adversarial Domain Adaptation for Sim-to-Real Transfer of Tactile Images

   22 次引用 · 2023
4. 4
   Domain adversarial transfer for cross-domain and task-constrained grasp pose detection

   21 次引用 · 2021
5. 5
   Hierarchical and parameterized learning of pick-and-place manipulation from under-specified human demonstrations

   10 次引用 · 2020
6. 6
   Learning Robot Manipulation Skills From Human Demonstration Videos Using Two-Stream 2-D/3-D Residual Networks With Self-Attention

   8 次引用 · 2022
7. 7
   Pixel-Level Domain Adaptation for Real-to-Sim Object Pose Estimation

   7 次引用 · 2023
8. 8
   CAGT: Sim-to-Real Depth Completion With Interactive Embedding Aggregation and Geometry Awareness for Transparent Objects

   5 次引用 · 2025
9. 9
   Knowledge Induced Deep Q-Network for Robot Push and Grasp Manipulation Skills Learning

   3 次引用 · 2020
10. 10
    Reducing Sim-to-Real Domain Gaps of Visual Sensors for Learning Environment-Constrained Visuomotor Policy

    2 次引用 · 2024

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