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Kris Kozak

dblp:66/6203 · DBLP profile ↗
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1ranked-venue papers
1as first author
0since 2021 · last 2006
—ORCID · none

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

Applied, interdisciplinary, general and emerging computing · 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
Robot manipulation · 70% Motion planning and robot control · 30%

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

TopicWeightPapersLastEvidence papers
Robotics › Robot manipulation › cable-driven robot
cable-driven manipulator
0.112006
Static analysis of cable-driven manipulators with non-negligible cable mass · IEEE Trans. Robotics 2006
Robotics › Motion planning and robot control › robot control
inverse kinematics
0.112006
Static analysis of cable-driven manipulators with non-negligible cable mass · IEEE Trans. Robotics 2006
Robotics › Robot manipulation
static analysis
0.112006
Static analysis of cable-driven manipulators with non-negligible cable mass · IEEE Trans. Robotics 2006
Robotics › Robot manipulation › manipulator modeling
stiffness analysis
0.012006
Static analysis of cable-driven manipulators with non-negligible cable mass · IEEE Trans. Robotics 2006

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

static displacement analysis · 0.1elastic cable model · 0.1
YearPublicationVenuePosition
2006 Static analysis of cable-driven manipulators with non-negligible cable mass
abstract
This paper addresses the static analysis of cable-driven robotic manipulators with non-negligible cable mass. An approach to computing the static displacement of a homogeneous elastic cable is presented. The resulting cable-displacement expression is used to solve the inverse kinematics of general cable-driven robotic manipulators. In addition, the sag-induced stiffness of the cables is derived. Finally, two sample robotic manipulators with dimensions and system parameters similar to a large scale cable-driven manipulator currently under development are analyzed. The results show that cable sag can have a significant effect on both the inverse kinematics and stiffness of such manipulators.
Kris Kozak
IEEE Trans. Robotics1