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. 2010.14834
  4. Cited By
DeepQ Stepper: A framework for reactive dynamic walking on uneven
  terrain

DeepQ Stepper: A framework for reactive dynamic walking on uneven terrain

28 October 2020
Avadesh Meduri
Majid Khadiv
Ludovic Righetti
ArXivPDFHTML

Papers citing "DeepQ Stepper: A framework for reactive dynamic walking on uneven terrain"

3 / 3 papers shown
Title
Deep Reinforcement Learning for Bipedal Locomotion: A Brief Survey
Deep Reinforcement Learning for Bipedal Locomotion: A Brief Survey
Lingfan Bao
Josephine N. Humphreys
Tianhu Peng
Chengxu Zhou
73
5
0
25 Apr 2024
ContactNet: Online Multi-Contact Planning for Acyclic Legged Robot
  Locomotion
ContactNet: Online Multi-Contact Planning for Acyclic Legged Robot Locomotion
Angelo Bratta
Avadesh Meduri
Michele Focchi
Ludovic Righetti
Claudio Semini
37
3
0
30 Sep 2022
GLiDE: Generalizable Quadrupedal Locomotion in Diverse Environments with
  a Centroidal Model
GLiDE: Generalizable Quadrupedal Locomotion in Diverse Environments with a Centroidal Model
Zhaoming Xie
Xingye Da
Buck Babich
Animesh Garg
M. van de Panne
26
66
0
20 Apr 2021
1