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Automatic Acquisition of a Repertoire of Diverse Grasping Trajectories
  through Behavior Shaping and Novelty Search

Automatic Acquisition of a Repertoire of Diverse Grasping Trajectories through Behavior Shaping and Novelty Search

IEEE International Conference on Robotics and Automation (ICRA), 2022
17 May 2022
Aurélien Morel
Yakumo Kunimoto
Alexandre Coninx
Stéphane Doncieux
ArXiv (abs)PDFHTML

Papers citing "Automatic Acquisition of a Repertoire of Diverse Grasping Trajectories through Behavior Shaping and Novelty Search"

10 / 10 papers shown
Title
CaDRE: Controllable and Diverse Generation of Safety-Critical Driving
  Scenarios using Real-World Trajectories
CaDRE: Controllable and Diverse Generation of Safety-Critical Driving Scenarios using Real-World Trajectories
Peide Huang
Wenhao Ding
Jonathan M Francis
Bingqing Chen
Ding Zhao
217
9
0
19 Mar 2024
Domain Randomization for Sim2real Transfer of Automatically Generated
  Grasping Datasets
Domain Randomization for Sim2real Transfer of Automatically Generated Grasping DatasetsIEEE International Conference on Robotics and Automation (ICRA), 2023
J. Huber
François Hélénon
Hippolyte Watrelot
F. B. Amar
Stéphane Doncieux
175
22
0
06 Oct 2023
Quality Diversity under Sparse Reward and Sparse Interaction:
  Application to Grasping in Robotics
Quality Diversity under Sparse Reward and Sparse Interaction: Application to Grasping in RoboticsEvolutionary Computation (Evol. Comput.), 2023
J. Huber
François Hélénon
Miranda Coninx
F. B. Amar
Stéphane Doncieux
285
11
0
10 Aug 2023
Proximal Policy Gradient Arborescence for Quality Diversity
  Reinforcement Learning
Proximal Policy Gradient Arborescence for Quality Diversity Reinforcement LearningInternational Conference on Learning Representations (ICLR), 2023
Sumeet Batra
Bryon Tjanaka
Matthew C. Fontaine
Aleksei Petrenko
Stefanos Nikolaidis
Gaurav Sukhatme
OffRL
228
23
0
23 May 2023
Learn to Grasp via Intention Discovery and its Application to
  Challenging Clutter
Learn to Grasp via Intention Discovery and its Application to Challenging ClutterIEEE Robotics and Automation Letters (RA-L), 2023
Chao Zhao
Chunli Jiang
Junhao Cai
Hongyu Yu
M. Y. Wang
Qifeng Chen
180
1
0
05 Apr 2023
Evolutionary Reinforcement Learning: A Survey
Evolutionary Reinforcement Learning: A SurveyIntelligent Computing (IC), 2023
Hui Bai
Ran Cheng
Yaochu Jin
OffRL
338
74
0
07 Mar 2023
pyribs: A Bare-Bones Python Library for Quality Diversity Optimization
pyribs: A Bare-Bones Python Library for Quality Diversity OptimizationAnnual Conference on Genetic and Evolutionary Computation (GECCO), 2023
Bryon Tjanaka
Matthew C. Fontaine
David H. Lee
Yulun Zhang
Nivedit Reddy Balam
N. Dennler
Sujay S. Garlanka
Nikitas Dimitri Klapsis
Stefanos Nikolaidis
203
50
0
01 Mar 2023
Random Actions vs Random Policies: Bootstrapping Model-Based Direct
  Policy Search
Random Actions vs Random Policies: Bootstrapping Model-Based Direct Policy Search
Elias Hanna
Alexandre Coninx
Stéphane Doncieux
OffRL
121
0
0
21 Oct 2022
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
J. Huber
Oumar Sane
Alexandre Coninx
F. B. Amar
Stéphane Doncieux
186
1
0
14 Oct 2022
Training Diverse High-Dimensional Controllers by Scaling Covariance
  Matrix Adaptation MAP-Annealing
Training Diverse High-Dimensional Controllers by Scaling Covariance Matrix Adaptation MAP-AnnealingIEEE Robotics and Automation Letters (RA-L), 2022
Bryon Tjanaka
Matthew C. Fontaine
David H. Lee
Aniruddha Kalkar
Stefanos Nikolaidis
296
14
0
06 Oct 2022
1