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Shota Taki

dblp:135/8029 · DBLP profile ↗
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1ranked-venue papers
1as first author
0since 2021 · last 2014
—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 · 100%

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
inverse kinematics
0.212014
A novel singularity-consistent inverse kinematics decomposition for S-R-S type manipulators · ICRA 2014
Robotics › Motion planning and robot control
redundancy resolution
0.212014
A novel singularity-consistent inverse kinematics decomposition for S-R-S type manipulators · ICRA 2014
Robotics › Motion planning and robot control
robot control
0.212014
A novel singularity-consistent inverse kinematics decomposition for S-R-S type manipulators · ICRA 2014
Robotics › Motion planning and robot control
singularity handling
0.212014
A novel singularity-consistent inverse kinematics decomposition for S-R-S type manipulators · ICRA 2014

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

self motion · 0.2joint-velocity decomposition · 0.2
YearPublicationVenuePosition
2014 A novel singularity-consistent inverse kinematics decomposition for S-R-S type manipulators
abstract
This paper addresses velocity-level redundancy resolution for S-R-S type redundant manipulators, aiming at precise path following in the presence of kinematic singularities. A novel joint-velocity decomposition scheme that complements and avoids some drawbacks of a previous study based on the Singularity-Consistent method is introduced. As a result, it becomes possible to follow almost any singular path in workspace, including paths passing through bifurcations (nondegenerate singular paths). Further on, the algorithmic singularity introduced in the previous study (the “inner obstacle”) disappears in the new formulation. The problem of wrist singularity is also addressed and solved via a proper self motion component. Only a limited subset of singular paths cannot be handled with the method: those that pass through the double elbow-wrist singularity (an isolated point at the workspace boundary). The effectiveness of the proposed method is illustrated via numerical simulations.
Shota Taki, Dragomir N. Nenchev
ICRA1