volume 5 issue 47

Learning quadrupedal locomotion over challenging terrain

Joonho Lee 1
Jemin Hwangbo 1, 2
Lorenz Wellhausen 1
Vladlen Koltun 3
Marco Hutter 1
Publication typeJournal Article
Publication date2020-10-21
scimago Q1
wos Q1
SJR5.940
CiteScore30.6
Impact factor27.5
ISSN24709476
Computer Science Applications
Mechanical Engineering
Artificial Intelligence
Control and Optimization
Abstract

A learning-based locomotion controller enables a quadrupedal ANYmal robot to traverse challenging natural environments.

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GOST |
Cite this
GOST Copy
Lee J. et al. Learning quadrupedal locomotion over challenging terrain // Science Robotics. 2020. Vol. 5. No. 47.
GOST all authors (up to 50) Copy
Lee J., Hwangbo J., Wellhausen L., Koltun V., Hutter M. Learning quadrupedal locomotion over challenging terrain // Science Robotics. 2020. Vol. 5. No. 47.
RIS |
Cite this
RIS Copy
TY - JOUR
DO - 10.1126/scirobotics.abc5986
UR - https://doi.org/10.1126/scirobotics.abc5986
TI - Learning quadrupedal locomotion over challenging terrain
T2 - Science Robotics
AU - Lee, Joonho
AU - Hwangbo, Jemin
AU - Wellhausen, Lorenz
AU - Koltun, Vladlen
AU - Hutter, Marco
PY - 2020
DA - 2020/10/21
PB - American Association for the Advancement of Science (AAAS)
IS - 47
VL - 5
PMID - 33087482
SN - 2470-9476
ER -
BibTex
Cite this
BibTex (up to 50 authors) Copy
@article{2020_Lee,
author = {Joonho Lee and Jemin Hwangbo and Lorenz Wellhausen and Vladlen Koltun and Marco Hutter},
title = {Learning quadrupedal locomotion over challenging terrain},
journal = {Science Robotics},
year = {2020},
volume = {5},
publisher = {American Association for the Advancement of Science (AAAS)},
month = {oct},
url = {https://doi.org/10.1126/scirobotics.abc5986},
number = {47},
doi = {10.1126/scirobotics.abc5986}
}