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E2R: a Hierarchical-Learning inspired Novelty-Search method to generate
  diverse repertoires of grasping trajectories

E2R: a Hierarchical-Learning inspired Novelty-Search method to generate diverse repertoires of grasping trajectories

14 October 2022
J. Huber
Oumar Sane
Alexandre Coninx
F. B. Amar
Stéphane Doncieux
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Papers citing "E2R: a Hierarchical-Learning inspired Novelty-Search method to generate diverse repertoires of grasping trajectories"

1 / 1 papers shown
Title
EGAD! an Evolved Grasping Analysis Dataset for diversity and
  reproducibility in robotic manipulation
EGAD! an Evolved Grasping Analysis Dataset for diversity and reproducibility in robotic manipulation
D. Morrison
Peter Corke
Jurgen Leitner
102
134
0
03 Mar 2020
1