GraspFusion: Realizing Complex Motion by Learning and Fusing Grasp Modalities with Instance Segmentation-Reference-Cited by-同舟云学术

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GraspFusion: Realizing Complex Motion by Learning and Fusing Grasp Modalities with Instance Segmentation

Published:2019-05 Issue: Volume: Page:
ISSN:
Container-title:2019 International Conference on Robotics and Automation (ICRA)
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Author:

Hasegawa Shun,Wada Kentaro,Kitagawa Shingo,Uchimi Yuto,Okada Kei,Inaba Masayuki

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/8780387/8793254/08793710.pdf?arnumber=8793710

Cited by 13 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. Multiple-Object Grasping Using a Multiple-Suction-Cup Vacuum Gripper in Cluttered Scenes;Robotics;2024-05-27

2. Hybrid Robotic Grasping With a Soft Multimodal Gripper and a Deep Multistage Learning Scheme;IEEE Transactions on Robotics;2023-06

3. On Improving Boundary Quality of Instance Segmentation in Cluttered and Chaotic Scenarios;2023 IEEE International Conference on Robotics and Automation (ICRA);2023-05-29

4. Implementation and Optimization of Grasping Learning with Dual-modal Soft Gripper;2023 IEEE International Conference on Robotics and Automation (ICRA);2023-05-29

5. Fast suction-grasp-difficulty estimation for high throughput plastic-waste sorting;Journal of Mechanical Science and Technology;2023-01-28

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