Learning Continuous 3D Reconstructions for Geometrically Aware Grasping-Reference-Cited by-同舟云学术

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Learning Continuous 3D Reconstructions for Geometrically Aware Grasping

Published:2020-05 Issue: Volume: Page:
ISSN:
Container-title:2020 IEEE International Conference on Robotics and Automation (ICRA)
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Author:

Van der Merwe Mark,Lu Qingkai,Sundaralingam Balakumar,Matak Martin,Hermans Tucker

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9187508/9196508/09196981.pdf?arnumber=9196981

Cited by 36 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. Grasping Under Uncertainties: Sequential Neural Ratio Estimation for 6-DoF Robotic Grasping;IEEE Robotics and Automation Letters;2024-08

2. ICGNet: A Unified Approach for Instance-Centric Grasping;2024 IEEE International Conference on Robotics and Automation (ICRA);2024-05-13

3. Self-supervised Learning for Joint Pushing and Grasping Policies in Highly Cluttered Environments;2024 IEEE International Conference on Robotics and Automation (ICRA);2024-05-13

4. DefGoalNet: Contextual Goal Learning from Demonstrations for Deformable Object Manipulation;2024 IEEE International Conference on Robotics and Automation (ICRA);2024-05-13

5. DeformerNet based 3D Deformable Objects Shape Servo Control for Bimanual Robot Manipulation;2024 IEEE International Conference on Industrial Technology (ICIT);2024-03-25

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