Real-Time Grasp Detection Using Convolutional Neural Networks

9 Dec 2014 Joseph Redmon Anelia Angelova

We present an accurate, real-time approach to robotic grasp detection based on convolutional neural networks. Our network performs single-stage regression to graspable bounding boxes without using standard sliding window or region proposal techniques... (read more)

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Datasets


TASK DATASET MODEL METRIC NAME METRIC VALUE GLOBAL RANK RESULT BENCHMARK
Robotic Grasping Cornell Grasp Dataset AlexNet, MultiGrasp 5 fold cross validation 88 # 4

Methods used in the Paper


METHOD TYPE
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