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Theodore E. Djaferis

dblp:120/5772 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 1987
—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
Robot manipulation · 67% Motion planning and robot control · 33%
Theoretical computer science
1 paper
Mathematical optimization · 100%

Topics — the 3 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Robotics › Robot manipulation
dexterous manipulation
0.011987
Multivariable feedback control of the JPL/Stanford hand · ICRA 1987
Robotics › Robot manipulation › grasping › multifingered hand
multifingered hand control
0.011987
Multivariable feedback control of the JPL/Stanford hand · ICRA 1987
Robotics › Motion planning and robot control
robot control
0.011987
Multivariable feedback control of the JPL/Stanford hand · ICRA 1987

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

pole assignment · 0.0linear multivariable feedback control · 0.0
YearPublicationVenuePosition
1987 Multivariable feedback control of the JPL/Stanford hand
abstract
Dexterous hands offer a great deal of flexibility in grasping and manipulation. As such, it can be used as a powerful device for assembly. However, we have to guarantee stable behavior and good performance from the hand and so attention must be focused on control issues. In this paper we deal with the control of the JPL/STANFORD hand. We use kinematic relationships developed earlier and suggest dynamic models for the fingers. We then develop Linear Multivariable Feedback Control strategies which guarantee local stability for controlling one finger. We employ design methods in the frequency domain, based on pole assignment techniques. Controllers are designed for a simple dynamic model and implemented on one finger. Results are presented along with a discussion for future work.
S. T. Venkataraman, Theodore E. Djaferis
ICRA2