Learning to Walk from Three Minutes of Real-World Data with
Semi-structured Dynamics Models

v1v2 (latest)

Learning to Walk from Three Minutes of Real-World Data with Semi-structured Dynamics Models

Conference on Robot Learning (CoRL), 2024

11 October 2024

David Fridovich-Keil

ArXiv (abs)PDF HTML

Papers citing "Learning to Walk from Three Minutes of Real-World Data with Semi-structured Dynamics Models"

7 / 7 papers shown

Title
Learning Soft Robotic Dynamics with Active Exploration Hehui Zheng Bhavya Sukhija Chenhao Li Klemens Iten Andreas Krause Robert K. Katzschmann 80 0 0 31 Oct 2025
Sym2Real: Symbolic Dynamics with Residual Learning for Data-Efficient Adaptive Control Easop Lee Samuel A. Moore Boyuan Chen 108 0 0 18 Sep 2025
DiffCoTune: Differentiable Co-Tuning for Cross-domain Robot ControlIEEE Robotics and Automation Letters (IEEE RA-L), 2025 Lokesh Krishna Sheng Cheng Junheng Li N. Hovakimyan Quan Nguyen 140 0 0 29 May 2025
Gait in Eight: Efficient On-Robot Learning for Omnidirectional Quadruped Locomotion Nico Bohlinger Jonathan Kinzel Daniel Palenicek Lukasz Antczak Jan Peters 211 6 0 11 Mar 2025
A Multi-Fidelity Control Variate Approach for Policy Gradient Estimation Xinjie Liu Cyrus Neary Kushagra Gupta Christian Ellis Ufuk Topcu Ufuk Topcu David Fridovich-Keil OffRL 1.1K 1 0 07 Mar 2025
Humanoid Whole-Body Locomotion on Narrow Terrain via Dynamic Balance and Reinforcement Learning Weiji Xie Fuchun Sun Jiyuan Shi Junkai Yang Yunfei Ge Weinan Zhang Xiaochen Li 292 11 0 24 Feb 2025
Toward Task Generalization via Memory Augmentation in Meta-Reinforcement Learning Kaixi Bao Chenhao Li Yarden As Andreas Krause Marco Hutter OffRL CLL 537 3 0 03 Feb 2025