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Brian Schipper

dblp:139/5228 · DBLP profile ↗
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2ranked-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 · 1Applied, 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
2 papers
Robot manipulation · 100%

Topics — the 5 heaviest of 5, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Robotics › Robot manipulation
grasping		 0.021987
Automatic evaluation of two-fingered grips · IEEE J. Robotics Autom. 1987
Automatic two-fingered grip selection · ICRA 1986
Robotics › Robot manipulation › tactile sensing › tactile perception
grip condition estimation		 0.011987
Automatic evaluation of two-fingered grips · IEEE J. Robotics Autom. 1987
Robotics › Robot manipulation › grasping › grasp planning
grasp selection		 0.011986
Automatic two-fingered grip selection · ICRA 1986
Robotics › Robot manipulation › grasping
two-fingered grasp		 0.011986
Automatic two-fingered grip selection · ICRA 1986
Robotics › Robot manipulation › grasping › grasp analysis
force analysis		 0.011986
Automatic two-fingered grip selection · ICRA 1986

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

pressure modeling · 0.0friction coefficient · 0.0force/moment analysis · 0.0
YearPublicationVenuePosition
1987 Automatic evaluation of two-fingered grips
abstract
Grip determination is essential to any task-level planning process. The complete force/moment equations are presented for grasping employing a rigid two-fingered gripper with a thin elastic layer on the contacting surface. The surface contact is modeled as a linear pressure variation. The quality measure of a grip is taken to be the coefficient of friction needed to keep the held object from slipping between the fingers under applied forces and moments. The lower the coefficient of friction, the better the grip. Incorporation of this evaluation into general grip selection strategy is discussed, and several examples are given.
James Barber, Richard A. Volz, Rajiv S. Desai, Ronitt Rubinfeld, Brian Schipper, Jan Wolter 0002
 IEEE J. Robotics Autom.5
1986 Automatic two-fingered grip selection
abstract
Grip determination is essential to any task level planning process and to situations in which the pose of the part to be grasped is not known a priori. This paper presents the complete force/moment equations for grasping via a rigid two-fingered gripper. Surface contact is modeled as a linear pressure variation. The quality measure of a grip is taken to be the coefficient of friction needed to keep it from slipping under applied forces and moments, the lower the coefficient of friction, the better the grip. The incorporation of this evaluation into a general grip selection strategy is discussed and several examples given.
James Barber, Richard A. Volz, Rajiv S. Desai, Ronitt Rubinfeld, Brian Schipper, Jan Wolter 0002
 ICRA5