Robotic Grasp Detection for Parallel Grippers: A Review
Author:
Affiliation:
1. School of Information Engineering, Yangzhou University,Yangzhou,China
2. School of Engineering, Kyushu Institute of Technology,Kitakyushu,Japan
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9842455/9842394/09842597.pdf?arnumber=9842597
Reference26 articles.
1. Real-time Grasp Pose Estimation for Novel Objects in Densely Cluttered Environment
2. Dex-Net 2.0: Deep Learning to Plan Robust Grasps with Synthetic Point Clouds and Analytic Grasp Metrics
3. Robotic grasp detection using deep convolutional neural networks
4. Real-World Multiobject, Multigrasp Detection
5. Mobile Manipulation in Unstructured Environments: Perception, Planning, and Execution
Cited by 2 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. Pose Estimation of Point Sets Using Residual MLP in Intelligent Transportation Infrastructure;IEEE Transactions on Intelligent Transportation Systems;2023-11
2. Multitarget Flexible Grasping Detection Method for Robots in Unstructured Environments;Computer Modeling in Engineering & Sciences;2023
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