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Josip Loncaric

dblp:18/501 · DBLP profile ↗
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4ranked-venue papers
3as first author
0since 2021 · last 2016
—ORCID · none

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

Systems, architecture and hardware · 2 · 1 first-authorApplied, interdisciplinary, general and emerging computing · 2 · 2 first-authorArtificial intelligence and machine learning · 1 · 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
2 papers
Robot manipulation · 78% Motion planning and robot control · 22%

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

TopicWeightPapersLastEvidence papers
Robotics › Robot manipulation › contact modeling
stiffness and compliance modeling
0.021991
Elastic systems and quasistatic grasp stability · ICRA 1991
Normal forms of stiffness and compliance matrices · IEEE J. Robotics Autom. 1987
Robotics › Robot manipulation
grasping
0.011991
Elastic systems and quasistatic grasp stability · ICRA 1991
Robotics › Motion planning and robot control › robot kinematics
normal form
0.011987
Normal forms of stiffness and compliance matrices · IEEE J. Robotics Autom. 1987
Robotics › Motion planning and robot control › robot control
compliant motion control
0.011987
Normal forms of stiffness and compliance matrices · IEEE J. Robotics Autom. 1987

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

lagrange-dirichlet principle · 0.0geometric analysis · 0.0lie group approach · 0.0
YearPublicationVenuePosition
2016 Power usage of production supercomputers and production workloads
abstract
Summary Power is becoming an increasingly important concern for large supercomputer centers. However, to date, there have been a dearth of studies of power usage ‘in the wild’—on production supercomputers running production workloads. In this paper, we present the initial results of a project to characterize the power usage of the three Top500 supercomputers at Los Alamos National Laboratory: Cielo, Roadrunner, and Luna (#15, #19, and #47, respectively, on the June 2012 Top500 list). Power measurements taken both at the switchboard level and within the compute racks are presented and discussed. Some noteworthy results of this study are that (1) variability in power consumption differs across architectures, even when running a similar workload and (2) Los Alamos National Laboratory's scientific workload draws, on average, only 70–75% of LINPACK power and only 40–55% of nameplate power, implying that power capping may enable a substantial reduction in power and cooling infrastructure while impacting comparatively few applications. Copyright © 2013 John Wiley & Sons, Ltd.
Scott Pakin, Curtis B. Storlie, Michael Lang 0003, Bob Fields, Eloy E. Romero Jr., Craig Idler, Sarah Ellen Michalak, Hugh Greenberg, Josip Loncaric, Randal Rheinheimer, Gary Grider, Joanne Wendelberger
Concurr. Comput. Pract. Exp.9
2003 Optimization in the Context of Active Control of Sound
Josip Loncaric, Semyon Tsynkov
ICCSA (2)1
1991 Elastic systems and quasistatic grasp stability
abstract
The geometric approach to the quasistatic analysis of elastic systems of rigid bodies can be used to model a wide variety of situations. The modular dextrous hand is used as a model to explain the difference between elastic systems and elastic networks, define and compute the stiffness of the elastic system, and show how holonomic constraints can be handled in this framework. Geometry of the space of all elastic systems with holonomic constraints is described by the Lagrangian planes in the displacement-force space. It is shown how coordinates can be chosen to simplify the interpretation of the stiffness and compliance matrices. Quasistatic grasp stability is analyzed by an application of the Lagrange-Dirichlet principle.>
Josip Loncaric
ICRA1
1987 Normal forms of stiffness and compliance matrices
abstract
A generalized spring associates potential energy with each position and orientation of a rigid body. The stiffness of such a spring can be represented by a 6 × 6 symmetric matrix. This matrix can be brought to a normal form by a particular choice of the coordinate frame. Analogous but independent results hold for compliance matrices. These results, obtained by using a Lie group approach, also extend the concept of the remote center of stiffness to generic generalized springs.
Josip Loncaric
IEEE J. Robotics Autom.1