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A study on picking objects in cluttered environments: Exploiting depth features for a custom low-cost universal jamming gripper.

Salvatore D'AvellaPaolo TripicchioCarlo Alberto Avizzano
Published in: Robotics Comput. Integr. Manuf. (2020)
Keyphrases
  • low cost
  • computer vision
  • feature vectors
  • low level
  • objects in cluttered environments
  • feature selection
  • feature space
  • semi supervised
  • depth map