Companion Website

Nature Machine Intelligence - March 2019

Article (open-access): Nature.com

Arxiv Preprint

A tendon-driven robotic limb learns movements autonomously from sparse experience, by a short period of ‘motor babbling’ (that is, repeated exploratory movements), followed by a phase of reinforcement learning. In this video, the limb is learning to make cyclic movements to propel the treadmill. The approach is a step towards designing robots with the versatility and robustness of vertebrates, which can adapt quickly to everyday environments.

USC Viterbi: Interviews and Footage

Citation

Marjaninejad, Ali, et al. “Autonomous functional movements in a tendon-driven limb via limited experience.” Nature Machine Intelligence 1.3 (2019): 144.

Citation (.ris)
Citation (BibTex)

Funding

Research reported in this publication was supported in part by the National Institute of Arthritis and Musculoskeletal and Skin Diseases of the National Institutes of Health under award numbers R01 AR-050520, R01 AR-052345, the Department of Defense CDMRP Grant MR150091, and Award W911NF1820264 from the DARPA’s Lifelong Learning Machines (L2M) program.

We’d be happy to help you apply these methods to your work. Send us a message: [email protected]

Feature in Wired Magazine, 2018

News Coverage

In English:

Nature: Editorial
USC Viterbi School of Engineering
Defense Advanced Research Projects Agency (DARPA)
PCMag
Voice of America (VoA)
CHIPS: The department of the Navy’s information technology magazine
USC Stevens Innovation Center
MathWorks - MATLAB Central Blogs
Sciencedaily
eurekalert
techxplore
parallelstate
nanowerk
esciencenews
onenewspage
Google news stories
phys.org
tunisiesoir
longroom
reddit, I
reddit, II
neurosciencenews
bioengineer
interestingengineering
newatlas
techradar
scienceworldreport
electronicsweekly
theness
laboratoryequipment
foreignaffairs
hackster.io
technologynetworks
ecnmag, I
ecnmag, II
digitaltrends
brecorder
iconnect007
lifeboat
slashgear
bonbonlifestylewebazine
inpst
sciencealert
dunyanews
technologynetworks
brucelandonblog
mil-embedded
sciencex
azorobotics
technologytimes
meritalk
psychologytoday

In other languages:

popmech
visao
computerworld
isna
nice.hu
tg24.sky
deingenieur
ednchina
N+1
ghatreh mukola
negociosdisruptivos
ardina.news
theworldnews
k-strana
ion
eeworld
elecfans
gunosy
mobilegeeks
nauka.vesti
lacienciameencanta
whatnext
nuus
comunicacionfi.unam
yucatan

Supplemental site prepared by: Brian A. Cohn and Ali Marjaninejad