Farahnaz Maghooa

dblp:164/8323 · DBLP profile ↗
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1ranked-venue papers
1as first author
0since 2021 · last 2015
—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 · 61% Robot manipulation · 30% Legged, aerial and field robots · 9%

Topics — the 4 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Robotics › Motion planning and robot control
robot control
0.212015
Tendon and pressure actuation for a bio-inspired manipulator based on an antagonistic principle · ICRA 2015
Robotics › Robot manipulation › soft robotics
soft robot manipulation
0.212015
Tendon and pressure actuation for a bio-inspired manipulator based on an antagonistic principle · ICRA 2015
Robotics › Motion planning and robot control › robot control › impedance control
stiffness control
0.212015
Tendon and pressure actuation for a bio-inspired manipulator based on an antagonistic principle · ICRA 2015
Robotics › Legged, aerial and field robots
bio-inspired robot
0.112015
Tendon and pressure actuation for a bio-inspired manipulator based on an antagonistic principle · ICRA 2015

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

tendon actuation · 0.2pneumatic actuation · 0.2constant curvature model · 0.2
YearPublicationVenuePosition
2015 Tendon and pressure actuation for a bio-inspired manipulator based on an antagonistic principle
abstract
This paper proposes a soft, inflatable manipulator that is antagonistically actuated by tendons and pneumatics. The combination of the two actuation mechanisms in this antagonistic robot structure is inspired by the octopus which uses its longitudinal and transversal muscles to steer, elongate, shrink and also stiffen its continuum arms. By “activating” its antagonistic muscle groups at the same time, the octopus can achieve multiple motion patterns as well as stiffen their arms. Being organized in a similar fashion, our robot manipulator uses, on the one hand, pneumatic actuation and, on the other hand, tendon-based actuation - one opposing the other, achieving an overall antagonistic actuation framework. Controlling the pressure inside the robot while at the same time controlling the tendons' displacements, the robot can be moved into a wide range of configurations while simultaneously controlling the arm's stiffness. This paper builds on earlier work by the authors: Here, we present a new conic-shaped manipulator structure and the control architecture. Using a constant curvature model, we have derived an approach suitable for controlling the robot manipulator. The manipulator's reachable workspace is analyzed and proof-of-concept experiments were conducted to show the robot's stiffness control and motion abilities.
Farahnaz Maghooa, Agostino Stilli, Yohan Noh, Kaspar Althoefer, Helge A. Wurdemann
ICRA1