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. 2403.00187
  4. Cited By
Learning to walk in confined spaces using 3D representation

Learning to walk in confined spaces using 3D representation

29 February 2024
Takahiro Miki
Joonho Lee
Lorenz Wellhausen
Marco Hutter
ArXivPDFHTML

Papers citing "Learning to walk in confined spaces using 3D representation"

5 / 5 papers shown
Title
Whole-body End-Effector Pose Tracking
Whole-body End-Effector Pose Tracking
Tifanny Portela
Andrei Cramariuc
Mayank Mittal
Marco Hutter
42
3
0
24 Sep 2024
Team CERBERUS Wins the DARPA Subterranean Challenge: Technical Overview
  and Lessons Learned
Team CERBERUS Wins the DARPA Subterranean Challenge: Technical Overview and Lessons Learned
Marco Tranzatto
M. Dharmadhikari
Lukas Bernreiter
Marco Camurri
Shehryar Khattak
...
M. Mueller
Maurice F. Fallon
Roland Siegwart
Marco Hutter
K. Alexis
29
34
0
11 Jul 2022
TAMOLS: Terrain-Aware Motion Optimization for Legged Systems
TAMOLS: Terrain-Aware Motion Optimization for Legged Systems
Fabian Jenelten
R. Grandia
Farbod Farshidian
Marco Hutter
35
55
0
28 Jun 2022
Learning to Walk in Minutes Using Massively Parallel Deep Reinforcement
  Learning
Learning to Walk in Minutes Using Massively Parallel Deep Reinforcement Learning
N. Rudin
David Hoeller
Philipp Reist
Marco Hutter
108
535
0
24 Sep 2021
Autonomous Spot: Long-Range Autonomous Exploration of Extreme
  Environments with Legged Locomotion
Autonomous Spot: Long-Range Autonomous Exploration of Extreme Environments with Legged Locomotion
Amanda Bouman
M. Ginting
Nikhilesh Alatur
M. Palieri
David D. Fan
...
T. Pailevanian
Sung-Kyun Kim
K. Otsu
J. W. Burdick
Ali-akbar Agha-mohammadi
91
128
0
19 Oct 2020
1