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Tatjana M. Petrovic

dblp:230/6956 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 1991
—ORCID · none

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

Artificial intelligence and machine learning · 1Systems, architecture and hardware · 1

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 · 100%

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

TopicWeightPapersLastEvidence papers
Robotics › Motion planning and robot control › robot control
inverse kinematics
0.011991
Inverse kinematic solution for a 7 DOF robot with minimal computational complexity and singularity avoidance · ICRA 1991
Robotics › Motion planning and robot control › robot control › inverse kinematics
redundant manipulator inverse kinematics
0.011991
Inverse kinematic solution for a 7 DOF robot with minimal computational complexity and singularity avoidance · ICRA 1991
Robotics › Motion planning and robot control
robot kinematics
0.011991
Inverse kinematic solution for a 7 DOF robot with minimal computational complexity and singularity avoidance · ICRA 1991
Robotics › Motion planning and robot control › singularity handling
singularity avoidance
0.011991
Inverse kinematic solution for a 7 DOF robot with minimal computational complexity and singularity avoidance · ICRA 1991
Robotics › Motion planning and robot control › robot control
task-space robot control
0.011991
Inverse kinematic solution for a 7 DOF robot with minimal computational complexity and singularity avoidance · ICRA 1991

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

pseudoinverse · 0.0gradient projection · 0.0
YearPublicationVenuePosition
1991 Inverse kinematic solution for a 7 DOF robot with minimal computational complexity and singularity avoidance
abstract
One of the problems in real-time control of redundant manipulators is considerably increased computational complexity compared with nonredundant robots. An attempt is made to reduce computational complexity by combining analytical and pseudoinverse solutions. In this way the dimensions of the Jacobian are considerably reduced, yielding several times less computational complexity. Further reduction of computational time is achieved by applying the gradient projection method to the actually redundant subrobot. A simple performance criterion for avoiding wrist singularity is proposed.>
Manja V. Kircanski, Tatjana M. Petrovic
ICRA2