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dc.contributor.author
Valsecchi, Giorgio
dc.contributor.author
Grandia, Ruben
dc.contributor.author
Hutter, Marco
dc.date.accessioned
2020-02-12T11:56:07Z
dc.date.available
2020-01-21T16:16:15Z
dc.date.available
2020-01-22T06:13:05Z
dc.date.available
2020-02-12T11:56:07Z
dc.date.issued
2020-04
dc.identifier.issn
2377-3766
dc.identifier.other
10.1109/LRA.2020.2969160
en_US
dc.identifier.uri
http://hdl.handle.net/20.500.11850/392778
dc.identifier.doi
10.3929/ethz-b-000392778
dc.description.abstract
Sensing of the terrain shape is crucial for legged robots deployed in the real world since the knowledge of the local terrain inclination at the contact points allows for an optimized force distribution that minimizes the risk of slipping. In this paper, we present a reactive locomotion strategy for torque controllable quadruped robots based on sensorized feet. Since the present approach works without exteroceptive sensing, it is robust against degraded vision. Inertial and force/torque sensors implemented in specially designed feet with articulated passive ankle joints measure the local terrain inclination and interaction forces. The proposed controller exploits the contact null-space in order to minimize the tangential forces to prevent slippage even in case of extreme contact conditions. We experimentally tested the proposed method in laboratory experiments and validated the approach with the quadrupedal robot ANYmal.
en_US
dc.format
application/pdf
en_US
dc.language.iso
en
en_US
dc.publisher
IEEE
en_US
dc.rights.uri
http://rightsstatements.org/page/InC-NC/1.0/
dc.subject
Mechanism Design
en_US
dc.subject
Legged Robots
en_US
dc.subject
Motion Control
en_US
dc.title
Quadrupedal locomotion on uneven terrain with sensorized feet
en_US
dc.type
Journal Article
dc.rights.license
In Copyright - Non-Commercial Use Permitted
dc.date.published
2020-01-24
ethz.journal.title
IEEE Robotics and Automation Letters
ethz.journal.volume
5
en_US
ethz.journal.issue
2
en_US
ethz.pages.start
1548
en_US
ethz.pages.end
1555
en_US
ethz.size
8 p. accepted version
en_US
ethz.version.deposit
acceptedVersion
en_US
ethz.code.ddc
DDC - DDC::6 - Technology, medicine and applied sciences::620 - Engineering & allied operations
en_US
ethz.grant
subTerranean Haptic INvestiGator
en_US
ethz.identifier.wos
ethz.identifier.scopus
ethz.publication.place
Piscataway, NJ
en_US
ethz.publication.status
published
en_US
ethz.leitzahl
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02130 - Dep. Maschinenbau und Verfahrenstechnik / Dep. of Mechanical and Process Eng.::02620 - Inst. f. Robotik u. Intelligente Systeme / Inst. Robotics and Intelligent Systems::09570 - Hutter, Marco / Hutter, Marco
en_US
ethz.leitzahl.certified
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02130 - Dep. Maschinenbau und Verfahrenstechnik / Dep. of Mechanical and Process Eng.::02620 - Inst. f. Robotik u. Intelligente Systeme / Inst. Robotics and Intelligent Systems::09570 - Hutter, Marco / Hutter, Marco
en_US
ethz.grant.agreementno
780883
ethz.grant.fundername
EC
ethz.grant.funderDoi
10.13039/501100000780
ethz.grant.program
H2020
ethz.date.deposited
2020-01-21T16:16:24Z
ethz.source
FORM
ethz.eth
yes
en_US
ethz.availability
Open access
en_US
ethz.rosetta.installDate
2020-02-12T11:56:20Z
ethz.rosetta.lastUpdated
2021-02-15T08:00:26Z
ethz.rosetta.versionExported
true
ethz.COinS
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