Robotic Pick-and-Place of Novel Objects in Clutter with Multi-Affordance Grasping and Cross-Domain Image Matching

Author:

Zeng Andy,Song Shuran,Yu Kuan-Ting,Donlon Elliott,Hogan Francois R.,Bauza Maria,Ma Daolin,Taylor Orion,Liu Melody,Romo Eudald,Fazeli Nima,Alet Ferran,Dafle Nikhil Chavan,Holladay Rachel,Morena Isabella,Qu Nair Prem,Green Druck,Taylor Ian,Liu Weber,Funkhouser Thomas,Rodriguez Alberto

Publisher

IEEE

Cited by 158 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Learning by doing: A dual-loop implementation architecture of deep active learning and human-machine collaboration for smart robot vision;Robotics and Computer-Integrated Manufacturing;2024-04

2. Leveraging symmetries in pick and place;The International Journal of Robotics Research;2024-01-05

3. Sim-Suction: Learning a Suction Grasp Policy for Cluttered Environments Using a Synthetic Benchmark;IEEE Transactions on Robotics;2024

4. A Mobile Manipulator for Logistic Applications;2023 23rd International Conference on Control, Automation and Systems (ICCAS);2023-10-17

5. Stable Robotic Grasping of Target Object Using Deep Reinforcement Learning;2023 14th International Conference on Information and Communication Technology Convergence (ICTC);2023-10-11

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