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J. A. Nájera

dblp:89/5861 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 1995
—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%

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

TopicWeightPapersLastEvidence papers
Robotics › Robot manipulation
dexterous manipulation
0.011995
Dexterous Manipulation: A Geometrical Reasoning Point of View · ICRA 1995
Robotics › Motion planning and robot control › motion planning › manipulation planning
fine motion planning
0.011995
Dexterous Manipulation: A Geometrical Reasoning Point of View · ICRA 1995
Robotics › Robot manipulation › grasping
grasp stability
0.011995
Dexterous Manipulation: A Geometrical Reasoning Point of View · ICRA 1995

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

minimum power principle · 0.0geometric reasoning · 0.0
YearPublicationVenuePosition
1995 Dexterous Manipulation: A Geometrical Reasoning Point of View
abstract
This paper addresses the problem of dexterous manipulation of objects using an articulated hand. We describe some geometric reasoning techniques that can be applied to solve active compliance tasks. In this context, fine motion strategies are derived from the positions and forces between the grasped object and the fingers of the hand. Our approach is based on the minimum power principle of the grasping system, using the force/position information to determine a sequence of well coordinated manipulation actions (fixed-point, rolling and sliding). Different manipulation situations are illustrated using a semi-spherical model of the fingertips. To test the techniques described in this paper, we present an example showing an articulated hand changing the orientation of a polyhedral object while respecting the stability constraints of the grasp.
L. A. Muñoz, C. Bard, J. A. Nájera
ICRA3