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Anton H. C. Smith

dblp:98/7 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2009
—ORCID · none

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
Motion planning and robot control · 100%

Topics — the 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Robotics › Motion planning and robot control › robot dynamics
dynamic performance analysis
0.112009
Dynamic Performance of a SCARA Robot Manipulator With Uncertainty Using Polynomial Chaos Theory · IEEE Trans. Robotics 2009
Robotics › Motion planning and robot control › robot control
manipulator dynamics
0.112009
Dynamic Performance of a SCARA Robot Manipulator With Uncertainty Using Polynomial Chaos Theory · IEEE Trans. Robotics 2009
Robotics › Motion planning and robot control
robot control
0.112009
Dynamic Performance of a SCARA Robot Manipulator With Uncertainty Using Polynomial Chaos Theory · IEEE Trans. Robotics 2009

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

polynomial chaos theory · 0.1linear control · 0.1
YearPublicationVenuePosition
2009 Dynamic Performance of a SCARA Robot Manipulator With Uncertainty Using Polynomial Chaos Theory
abstract
This short paper outlines how polynomial chaos theory (PCT) can be utilized for manipulator dynamic analysis and controller design in a 4-DOF selective compliance assembly robot-arm-type manipulator with variation in both the link masses and payload. It includes a simple linear control algorithm into the formulation to show the capability of the PCT framework.
Philip A. Voglewede, Anton H. C. Smith, Antonello Monti
IEEE Trans. Robotics2