Kuan‐Ting Yu

Princeton University, Massachusetts Institute of Technology, Vassar College, National Taiwan University

论文数

14

总引用数

1,694

H-Index

12

关于

暂无简介。

研究焦点

Computer science14 · 1,694 次引用
Artificial intelligence14 · 1,694 次引用
Object (grammar)10 · 1,492 次引用
Computer vision11 · 1,482 次引用
Robot12 · 1,171 次引用
Robotics8 · 1,069 次引用
Variety (cybernetics)5 · 908 次引用
Human–computer interaction5 · 875 次引用
Affordance4 · 846 次引用
Task (project management)4 · 749 次引用
Matching (statistics)3 · 706 次引用
Feature (linguistics)3 · 706 次引用

主要成就

12
H 指数
14
论文
1,694
总引用数
121
篇均引用
🏆 最高被引论文
Multi-view self-supervised deep learning for 6D pose estimation in the Amazon Picking Challenge
487 次引用 · 2017
📈 最高产年份: 2018 (4 论文)
🤝 主要合作者: 50
🏛 所属机构: Princeton University, Massachusetts Institute of Technology, Vassar College, National Taiwan University

代表论文

  1. 1
    Multi-view self-supervised deep learning for 6D pose estimation in the Amazon Picking Challenge
    487 次引用 · 2017
  2. 2
    Robotic Pick-and-Place of Novel Objects in Clutter with Multi-Affordance Grasping and Cross-Domain Image Matching
    461 次引用 · 2018
  3. 3
    Robotic pick-and-place of novel objects in clutter with multi-affordance grasping and cross-domain image matching
    198 次引用 · 2019
  4. 4
    More than a million ways to be pushed. A high-fidelity experimental dataset of planar pushing
    163 次引用 · 2016
  5. 5
    An Architecture for Online Affordance‐based Perception and Whole‐body Planning
    140 次引用 · 2014
  6. 6
    Robotic Pick-and-Place of Novel Objects in Clutter with Multi-Affordance Grasping and Cross-Domain Image Matching
    47 次引用 · 2017
  7. 7
    A Summary of Team MIT's Approach to the Amazon Picking Challenge 2015
    43 次引用 · 2016
  8. 8
    Multi-view Self-supervised Deep Learning for 6D Pose Estimation in the Amazon Picking Challenge
    36 次引用 · 2016
  9. 9
    Realtime State Estimation with Tactile and Visual Sensing. Application to Planar Manipulation
    35 次引用 · 2018
  10. 10
    Realtime State Estimation with Tactile and Visual Sensing for Inserting a Suction-held Object
    31 次引用 · 2018

主要合作者

ARAlberto Rodríguez12 篇合著论文MBMaria Bauzá6 篇合著论文NFNima Fazeli6 篇合著论文SSShuran Song5 篇合著论文AZAndy Zeng5 篇合著论文NCNikhil Chavan-Dafle4 篇合著论文EDElliott Donlon4 篇合著论文OTOrion Taylor4 篇合著论文FAFerran Alet3 篇合著论文WLWeber Liu3 篇合著论文MLMelody Liu3 篇合著论文PNPrem Nair3 篇合著论文RHRachel Holladay3 篇合著论文EREudald Romo3 篇合著论文TFThomas Funkhouser3 篇合著论文ITIan Taylor3 篇合著论文DMDaolin Ma3 篇合著论文DGDruck Green3 篇合著论文FRFrancois R. Hogan3 篇合著论文DSDaniel Suo2 篇合著论文
尚未生成