Learning to Grasp from a Single Demonstration

9 Jun 2018Pieter Van MolleTim VerbelenElias De ConinckCedric De BoomPieter SimoensBart Dhoedt

Learning-based approaches for robotic grasping using visual sensors typically require collecting a large size dataset, either manually labeled or by many trial and errors of a robotic manipulator in the real or simulated world. We propose a simpler learning-from-demonstration approach that is able to detect the object to grasp from merely a single demonstration using a convolutional neural network we call GraspNet... (read more)

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