Information-Theoretic Exploration for Adaptive Robotic Grasping in Clutter Based on Real-Time Pixel-Level Grasp Detection
Author:
Affiliation:
1. State Key Laboratory of Robotics and System, Harbin Institute of Technology, Harbin, China
Funder
National Key R&D Program of China
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Control and Systems Engineering
Link
http://xplorestaging.ieee.org/ielx7/41/10255541/10113888.pdf?arnumber=10113888
Reference34 articles.
1. Deep learning for detecting robotic grasps
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5. EGNet: Efficient Robotic Grasp Detection Network
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