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Victor J. Johnson

dblp:185/2129 · 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 · 56% Motion planning and robot control · 44%

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

TopicWeightPapersLastEvidence papers
Robotics › Robot manipulation › dexterous manipulation
dexterous hand control		 0.011987
Modeling and control of the stanford/JPL hand · ICRA 1987
Robotics › Motion planning and robot control
dynamic modeling and control		 0.011987
Modeling and control of the stanford/JPL hand · ICRA 1987
Robotics › Robot manipulation
dexterous manipulation		 0.011987
Modeling and control of the stanford/JPL hand · ICRA 1987

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

friction hysteresis identification · 0.0dynamic modeling · 0.0
YearPublicationVenuePosition
1987 Modeling and control of the stanford/JPL hand
abstract
Improved dexterity is an area of current research in robotics. At Sandia National Laboratories and the University of New Mexico we are pursuing research in this area with the aid of a Stanford/JPL hand from Salisbury Robotics. In this paper we present some of the issues raised in studying the characteristics and control of a single finger of the dexterous hand. The issues we present are dynamic modeling, friction based hysteresis, and identification of the finger system. We also discuss our present method for sensing and control.
Clifford S. Loucks, Victor J. Johnson, Peter T. Boissiere, Gregory P. Starr, John P. H. Steele
 ICRA2