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A two-step machining and active learning approach for right-first-time robotic countersinking through in-process error compensation and prediction of depth of cuts.

Mateo LecoThomas McLeayVisakan Kadirkamanathan
Published in: Robotics Comput. Integr. Manuf. (2022)
Keyphrases
  • active learning
  • error compensation
  • real time
  • semi supervised
  • high speed
  • video sequences
  • computational complexity
  • learning process
  • multiresolution
  • relevance feedback
  • prediction accuracy
  • tool wear