Validating Robotics Simulators on Real-World Impacts

1 October 2021

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

8 / 8 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 63 0 0 24 Feb 2025
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 80 2 0 04 Feb 2025
AnyBipe: An End-to-End Framework for Training and Deploying Bipedal Robots Guided by Large Language Models Yifei Yao Wentao He Chenyu Gu Jiaheng Du Fuwei Tan Zhen Zhu Junguo Lu OffRL 31 2 0 13 Sep 2024
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 54 8 0 08 Aug 2024
Simultaneous Learning of Contact and Continuous Dynamics Bibit Bianchini Mathew Halm Michael Posa 32 11 0 18 Oct 2023
Optimization-Based Control for Dynamic Legged Robots Patrick M. Wensing Michael Posa Yue Hu Adrien Escande Nicolas Mansard Andrea Del Prete 27 139 0 21 Nov 2022
A Flexible MATLAB/Simulink Simulator for Robotic Floating-base Systems in Contact with the Ground Nuno Guedelha Venus Pasandi Giuseppe L’Erario Silvio Traversaro Daniele Pucci Istituto Italiano di Tecnologia AI4CE 23 1 0 17 Nov 2022
Learning to Walk in Minutes Using Massively Parallel Deep Reinforcement Learning Nikita Rudin David Hoeller Philipp Reist Marco Hutter 115 545 0 24 Sep 2021