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. 2110.00541
  4. Cited By
Validating Robotics Simulators on Real-World Impacts

Validating Robotics Simulators on Real-World Impacts

1 October 2021
Brian Acosta
William Yang
Michael Posa
ArXivPDFHTML

Papers citing "Validating Robotics Simulators on Real-World Impacts"

4 / 4 papers shown
Title
Online Friction Coefficient Identification for Legged Robots on Slippery Terrain Using Smoothed Contact Gradients
Hajun Kim
Dongyun Kang
Min-Gyu Kim
Gijeong Kim
Hae-Won Park
48
0
0
24 Feb 2025
Rapidly Adapting Policies to the Real World via Simulation-Guided Fine-Tuning
Rapidly Adapting Policies to the Real World via Simulation-Guided Fine-Tuning
Patrick Yin
Tyler Westenbroek
Simran Bagaria
Kevin Huang
Ching-an Cheng
Andrey Kobolov
Abhishek Gupta
68
2
0
04 Feb 2025
FORGE: Force-Guided Exploration for Robust Contact-Rich Manipulation under Uncertainty
FORGE: Force-Guided Exploration for Robust Contact-Rich Manipulation under Uncertainty
Michael Noseworthy
Bingjie Tang
Bowen Wen
Ankur Handa
Nicholas Roy
Nicholas Roy
Dieter Fox
Yashraj S. Narang
Iretiayo Akinola
Iretiayo Akinola
44
8
0
08 Aug 2024
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
1