FFHNet: Generating Multi-Fingered Robotic Grasps for Unknown Objects in Real-time
Author:
Affiliation:
1. Agile Robots AG
2. Technische Universität München,Chair for Robotics and Embedded Systems
Funder
European Unions Horizon 2020 research and innovation programme
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9811522/9811357/09811666.pdf?arnumber=9811666
Reference53 articles.
1. Classification based grasp detection using spatial transformer network;park;CoRR,2018
2. Modeling Grasp Motor Imagery Through Deep Conditional Generative Models
3. GraspIt!
4. Shape completion enabled robotic grasping;varley;CoRR,2016
5. 6-dof grasp planning using fast 3d reconstruction and grasp quality CNN;avigal;CoRR,2020
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