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IROS 2016: Deep learning for robot grasping via simulation
Deep learning-based method for vision-guided robotic grasping of unknown objects.
Deep Reinforcement Learning for Dexterous Manipulation -- Grasp and Stack
DexNet 2.0: 99% Precision Grasping
6-DOF GraspNet: Variational Grasp Generation for Object Manipulation
PLAIF ( 플라잎 ) - Advanced unknown grasping using Deep learning
Closing the Loop for Robotic Grasping: A Real-time, Generative Grasp Synthesis Approach
Real-time Grasp Detection using Deep Learning
COROMA ONLINE COURSE: Learning to Grasp
Vision Based Grasp Learning
Maciej Jaśkowski: Advances in Robotic Grasping (or Robots gain sight)
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Last Updated: October 18, 2026
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Summary
Carl Winge's reimplementation of the paper - "Sample Efficient The video shows an application of a vision-guided UC Berkeley AUTOLAB bit.ly/AUTOLAB Dex-Net 2.0: In this Video, we will show the two service Paper to appear at RSS 2018. arxiv.org/abs/1804.05172 Code available at github.com/dougsm/ggcnn This paper ... U. Asif, M. Bennamoun and F. Sohel, RGB-D Object Recognition and My entry for the Hackaday Prize 2017: A semi-autonomous Contributed Talk at the PL in ML: Polish View on