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To grasp or not to grasp: an end-to-end deep-learning approach for predicting grasping failures in soft hands.

Visar ArapiYujie ZhangGiuseppe AvertaManuel G. CatalanoDaniela RusCosimo Della SantinaMatteo Bianchi
Published in: RoboSoft (2020)
Keyphrases
  • end to end
  • deep learning
  • machine learning
  • unsupervised learning
  • congestion control
  • admission control
  • pattern recognition
  • unsupervised feature learning