Efficient End-to-End Detection of 6-DoF Grasps for Robotic Bin Picking
Author:
Affiliation:
1. Bosch Center for Artificial Intelligence,Renningen,Germany
2. University of Tuebingen,Tuebingen AI Center,Germany
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10609961/10609862/10611417.pdf?arnumber=10611417
Reference35 articles.
1. Dex-Net 2.0: Deep Learning to Plan Robust Grasps with Synthetic Point Clouds and Analytic Grasp Metrics
2. Closing the Loop for Robotic Grasping: A Real-time, Generative Grasp Synthesis Approach
3. Contact-GraspNet: Efficient 6-DoF Grasp Generation in Cluttered Scenes
4. Pointnet++: Deep hierarchical feature learning on point sets in a metric space;Qi;Advances in neural information processing systems,2017
5. Volumetric grasping network: Real-time 6 dof grasp detection in clutter;Breyer
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