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Jacob M. Abel

dblp:17/2372 · DBLP profile ↗
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5ranked-venue papers
2as first author
0since 2021 · last 1992
—ORCID · none

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

Artificial intelligence and machine learning · 3 · 1 first-authorSystems, architecture and hardware · 3 · 1 first-authorApplied, interdisciplinary, general and emerging computing · 2 · 1 first-author

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
4 papers
Robot manipulation · 100%

Topics — the 5 heaviest of 6, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Robotics › Robot manipulation
grasping
0.031992
A contact stress model for multifingered grasps of rough objects · IEEE Trans. Robotics Autom. 1992
Enveloping, frictionless, planar grasping · ICRA 1987
On grasping planar objects with two articulated fingers · IEEE J. Robotics Autom. 1985
Robotics › Robot manipulation › grasping
multifingered grasping
0.021992
A contact stress model for multifingered grasps of rough objects · IEEE Trans. Robotics Autom. 1992
A contact stress model for multifingered grasps of rough objects · ICRA 1990
Robotics › Robot manipulation › grasping
grasp analysis
0.011992
A contact stress model for multifingered grasps of rough objects · IEEE Trans. Robotics Autom. 1992
Robotics › Robot manipulation › manipulation mechanics
static equilibrium
0.011992
A contact stress model for multifingered grasps of rough objects · IEEE Trans. Robotics Autom. 1992
Robotics › Robot manipulation › grasping › grasp analysis
grasp force analysis
0.011990
A contact stress model for multifingered grasps of rough objects · ICRA 1990

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

nonlinear constrained minimization · 0.0friction modeling · 0.0contact stress analysis · 0.0elastic contact analysis · 0.0active constraint set method · 0.0equilibrium analysis · 0.0coulomb friction modeling · 0.0
YearPublicationVenuePosition
1992 A contact stress model for multifingered grasps of rough objects
abstract
A model that utilizes a contact-stress analysis of an arbitrarily shaped object in a multifingered grasp is developed. The fingers and the object are all treated as elastic bodies, and the region of contact is modeled as a deformable surface patch. The relationship between the friction and normal forces is now nonlocal and nonlinear in nature and departs from the Coulomb approximation. The nature of the constraints arising out of conditions for compatibility and static equilibrium motivated the formulation of the model as a nonlinear constrained minimization problem. The model is able to predict the magnitude of the inwardly directed normal forces and both the magnitude and direction of the tangential (friction) forces at each finger/object interface for grasped objects in static equilibrium. Examples in two and three dimensions are presented along with an application of the model to the grasp transfer maneuver.>
Pramath R. Sinha, Jacob M. Abel
IEEE Trans. Robotics Autom.2
1990 A contact stress model for multifingered grasps of rough objects
abstract
The model developed utilizes a contact-stress analysis of an arbitrarily shaped object in a multifingered grasp. The fingers and the object are all treated as elastic bodies, and the region of contact is modeled as a deformable surface patch. The relationship between the friction and normal forces is nonlocal and nonlinear in nature and departs from the Coulomb approximation. The nature of the constraints arising out of conditions for compatibility and static equilibrium motivated the formulation of the model as a nonlinear constrained minimization problem. The model is able to predict the magnitude of the inwardly directed normal forces and both the magnitude and direction of the tangential (friction) forces at each finger-object interface for grasped objects in static equilibrium.>
Pramath R. Sinha, Jacob M. Abel
ICRA2
1987 Enveloping, frictionless, planar grasping
abstract
Grasping by a two-dimensional hand comprised of a palm and two hinged fingers is studied. The mathematics of frictionless grasping is presented and used in the development of a planner/simulator, The simulator computes the motion of the object using an active constraint set method and assuming exact knowledge of the physical properties of the polygonal object, hand, and support.
Jeffrey C. Trinkle, Jacob M. Abel, Richard P. Paul
ICRA2
1985 On grasping planar objects with two articulated fingers
abstract
This paper examines the grasps attainable by mechanical hands with two opposing articulated fingers. Such grasps are called planar, since all forces lie in plane defined by the contact points and the center of mass of the object. Assuming the contact interaction can be modeled by point contact with friction we obtain the equilibrium equations parametrized by the magnitude of one of the applied normal forces. Thus a curve of possible grasps in friction angle space is obtained from which an optimum may be chosen. Three examples are discussed in detail.
Jacob M. Abel, W. Holzmann, J. Michael McCarthy
ICRA1
1985 On grasping planar objects with two articulated fingers
abstract
The grasps attainable by mechanical hands with two opposing articulated fingers are examined. Such grasps are called planar, since all forces lie in plane defined by the contact points and the center of mass of the object. Assuming that the contact interaction can be modeled by point contact with Coulomb friction, the equilibrium equations for the grasped object are obtained. Satisfaction of force and moment equilibrium leads to the development of a compatability condition that relates object shape, contact locations and surface roughness as characterized by the coefficient of static friction μ. The set of all possible equilibrium grasps is determined for some examples and the results are presented as curves in a friction angle space. This representation permits choosing a grasp that is optimum in accordance with an independently developed criterion such as minimum dependence on friction forces.
Jacob M. Abel, W. Holzmann, J. Michael McCarthy
IEEE J. Robotics Autom.1