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Jose Oviedo-Barriga

dblp:135/8537 · DBLP profile ↗
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1ranked-venue papers
1as first author
0since 2021 · last 2013
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 1 · 1 first-authorSystems, architecture and hardware · 1 · 1 first-author

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Artificial intelligence
1 paper
Motion planning and robot control · 54% Legged, aerial and field robots · 46%

Topics — the 5 heaviest of 5, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Robotics › Legged, aerial and field robots › bipedal robot
bipedal walking control
0.212013
Robust tracking of bio-inspired references for a biped robot using geometric algebra and sliding modes · ICRA 2013
Robotics › Legged, aerial and field robots › legged robots
biped robot
0.212013
Robust tracking of bio-inspired references for a biped robot using geometric algebra and sliding modes · ICRA 2013
Robotics › Motion planning and robot control
robot control
0.212013
Robust tracking of bio-inspired references for a biped robot using geometric algebra and sliding modes · ICRA 2013
Robotics › Motion planning and robot control › robot control
sliding mode control
0.212013
Robust tracking of bio-inspired references for a biped robot using geometric algebra and sliding modes · ICRA 2013
Robotics › Motion planning and robot control › robot control
trajectory tracking
0.012013
Robust tracking of bio-inspired references for a biped robot using geometric algebra and sliding modes · ICRA 2013

Methods — techniques the papers use, named apart from their topics

sliding mode control · 0.2high-order sliding mode differentiator · 0.2conformal geometric algebra · 0.2
YearPublicationVenuePosition
2013 Robust tracking of bio-inspired references for a biped robot using geometric algebra and sliding modes
abstract
Controlling walking biped robots is a challenging problem due to its complex and uncertain dynamics. In order to tackle this, we propose a sliding mode controller based on a dynamic model which was obtained using the conformal geometric algebra approach (CGA). The CGA framework permits us to use lines, points, and other geometric entities, to obtain the Lagrange equations of the system. The references for the joints of the robot were bio-inspired in the kinematics of a walking human body. The first and second derivatives of the reference signal were obtained through an exact robust differentiator based on high order sliding modes. The performance of the proposed control scheme is illustrated through simulation.
Jose Oviedo-Barriga, Oscar Eleno Carbajal-Espinosa, Luis Enrique González Jiménez, Bernardino Castillo-Toledo, Eduardo Bayro-Corrochano
ICRA1