ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2210.09918
  4. Cited By
Online Damage Recovery for Physical Robots with Hierarchical
  Quality-Diversity

Online Damage Recovery for Physical Robots with Hierarchical Quality-Diversity

18 October 2022
Maxime Allard
Simón C. Smith
Konstantinos Chatzilygeroudis
Bryan Lim
Antoine Cully
ArXivPDFHTML

Papers citing "Online Damage Recovery for Physical Robots with Hierarchical Quality-Diversity"

6 / 6 papers shown
Title
Multi-Objective Quality-Diversity in Unstructured and Unbounded Spaces
Multi-Objective Quality-Diversity in Unstructured and Unbounded Spaces
Hannah Janmohamed
Antoine Cully
35
0
0
28 Mar 2025
Preference-Conditioned Gradient Variations for Multi-Objective
  Quality-Diversity
Preference-Conditioned Gradient Variations for Multi-Objective Quality-Diversity
Hannah Janmohamed
Maxence Faldor
Thomas Pierrot
Antoine Cully
80
1
0
19 Nov 2024
Adaptive Control Strategy for Quadruped Robots in Actuator Degradation
  Scenarios
Adaptive Control Strategy for Quadruped Robots in Actuator Degradation Scenarios
Xinyuan Wu
Wentao Dong
Hang Lai
Yong Yu
Ying Wen
22
2
0
29 Dec 2023
Improving the Data Efficiency of Multi-Objective Quality-Diversity
  through Gradient Assistance and Crowding Exploration
Improving the Data Efficiency of Multi-Objective Quality-Diversity through Gradient Assistance and Crowding Exploration
Hannah Janmohamed
Thomas Pierrot
Antoine Cully
23
5
0
24 Feb 2023
Hierarchical principles of embodied reinforcement learning: A review
Hierarchical principles of embodied reinforcement learning: A review
Manfred Eppe
Christian Gumbsch
Matthias Kerzel
Phuong D. H. Nguyen
Martin Volker Butz
S. Wermter
39
9
0
18 Dec 2020
Quality-Diversity Optimization: a novel branch of stochastic
  optimization
Quality-Diversity Optimization: a novel branch of stochastic optimization
Konstantinos Chatzilygeroudis
Antoine Cully
Vassilis Vassiliades
Jean-Baptiste Mouret
65
91
0
08 Dec 2020
1