Demonstration venue · read-only. Every page can be browsed; the buttons that would change it are switched off. Create an account to run TaxoReview on your own data. A simulation from public publication records: the people listed were not invited and did not agree to review.
? Tutorial for this page

Masaki Fujiwara

dblp:61/5202 · DBLP profile ↗
← Back
1ranked-venue papers
0as first author
0since 2021 · last 2009
—ORCID · unresolved

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

Applied, interdisciplinary, general and emerging computing · 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
Robot manipulation · 50% Motion planning and robot control · 50%

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

TopicWeightPapersLastEvidence papers
Robotics › Motion planning and robot control › robot dynamics › dynamic performance analysis
dynamic manipulability
0.112009
Dynamic Manipulability of Multifingered Grasping · IEEE Trans. Robotics 2009
Robotics › Robot manipulation
grasping
0.112009
Dynamic Manipulability of Multifingered Grasping · IEEE Trans. Robotics 2009
Robotics › Robot manipulation › grasping
multifingered grasping
0.112009
Dynamic Manipulability of Multifingered Grasping · IEEE Trans. Robotics 2009
Robotics › Motion planning and robot control
robot control
0.112009
Dynamic Manipulability of Multifingered Grasping · IEEE Trans. Robotics 2009

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

ellipsoid-based manipulability analysis · 0.1
YearPublicationVenuePosition
2009 Dynamic Manipulability of Multifingered Grasping
abstract
In this paper, we extend the concept of dynamic manipulability to evaluate the dynamic property of multifingered grasping systems consisting of a multifingered hand and a grasped object, and propose a measure of dynamic manipulability of multifingered grasping. Similar to the original dynamic manipulability, the proposed measure evaluates the mapping from a set of realizable joint torques to a set of resultant accelerations of the grasped object, which forms an ellipsoid under a constant internal force constraint. It is clearly shown that the internal forces not only affect the volume of the ellipsoid, but also the amount of offset of the ellipsoid, while the gravity forces simply induce an offset. A new measure, i.e., omnidirectionality, is introduced to add a penalty to the original manipulability measure, which simply evaluates the volume of the ellipsoid, depending on how much the ellipsoid is offset. Numerical examples by using a simple two-fingered robot hand are shown to demonstrate the effectiveness of the proposed measure.
Yasuyoshi Yokokohji, Jose San Martin, Masaki Fujiwara
IEEE Trans. Robotics3