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Kathryn W. Lilly

dblp:120/5681 · DBLP profile ↗
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4ranked-venue papers
4as 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 · 3 · 3 first-authorSystems, architecture and hardware · 3 · 3 first-authorHuman-computer interaction and ubiquitous computing · 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
3 papers
Motion planning and robot control · 59% Robot manipulation · 27% Legged, aerial and field robots · 14%
Computer architecture, parallel and distributed computing, and storage systems
2 papers
Embedded and real-time systems · 100%

Topics — the 8 heaviest of 8, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Robotics › Motion planning and robot control
robot dynamics
0.031995
A Generalized Formulation for Simulation of Space Robot Constrained Motion · ICRA 1995
Efficient dynamic simulation of a single closed chain manipulator · ICRA 1991
Efficient O(N) computation of the operational space inertia matrix · ICRA 1990
Robotics › Motion planning and robot control › robot dynamics
dynamic simulation
0.021995
A Generalized Formulation for Simulation of Space Robot Constrained Motion · ICRA 1995
Efficient dynamic simulation of a single closed chain manipulator · ICRA 1991
Robotics › Robot manipulation
constrained motion
0.011995
A Generalized Formulation for Simulation of Space Robot Constrained Motion · ICRA 1995
Robotics › Legged, aerial and field robots
space robotics
0.011995
A Generalized Formulation for Simulation of Space Robot Constrained Motion · ICRA 1995
Robotics › Robot manipulation › parallel manipulator
closed-chain manipulator
0.011991
Efficient dynamic simulation of a single closed chain manipulator · ICRA 1991
Robotics › Motion planning and robot control › robot dynamics
operational space inertia
0.011990
Efficient O(N) computation of the operational space inertia matrix · ICRA 1990
Embedded and real-time systems › real-time scheduling
complexity analysis
0.021991
Efficient dynamic simulation of a single closed chain manipulator · ICRA 1991
Efficient O(N) computation of the operational space inertia matrix · ICRA 1990
Robotics › Robot manipulation › parallel manipulator
closed-chain mechanisms
0.011995
A Generalized Formulation for Simulation of Space Robot Constrained Motion · ICRA 1995

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

operational space inertia matrix · 0.0contact model · 0.0spatial articulated transformations · 0.0inertia propagation method · 0.0dynamic equations formulation · 0.0
YearPublicationVenuePosition
1995 A Generalized Formulation for Simulation of Space Robot Constrained Motion
abstract
In the past decade, research advances in robot dynamic simulation have included algorithms for space robots operating as open chain mechanisms and earth-bound robot systems operating under constrained motion conditions. Few researchers, however, have investigated a combination of these conditions, i.e. a space robot performing closed chain operations. This paper presents a generalized formulation of the dynamic equations for a space-based robot in both open chain and closed chain configurations. This formulation represents the consolidation of several specialized formulations into a single convenient form.
Kathryn W. Lilly, Clifford S. Bonaventura
ICRA1
1993 Efficient O(N) recursive computation of the operational space inertia matrix
abstract
The operational space inertia matrix Lambda reflects the dynamic properties of a robot manipulator to its tip. In the control domain, it may be used to decouple force and/or motion control about the manipulator workspace axes. The matrix Lambda also plays an important role in the development of efficient algorithms for the dynamic simulation of closed-chain robotic mechanisms, such as multiple manipulator systems and walking machines. This paper presents the development of a recursive algorithm for computing the operational space inertia matrix (OSIM) that reduces the computational complexity to O(N). This algorithm, the inertia propagation method, is based on a single recursion that begins at the base of the manipulator and progresses out to the last link. Also applicable to redundant systems and mechanisms with multiple-degree-of-freedom joints, the inertia propagation method is the most efficient method known for computing Lambda for N>or=6. The numerical accuracy of the algorithm is discussed for a PUMA 560 robot with a fixed base.>
Kathryn W. Lilly, David E. Orin
IEEE Trans. Syst. Man Cybern.1
1991 Efficient dynamic simulation of a single closed chain manipulator
abstract
An efficient serial algorithm for the dynamic simulation of a single closed chain is developed. The algorithm is valid for a manipulator with any number of degrees of freedom, N, and it is still applicable when the manipulator is in a singular position. A moving base may also be incorporated into the system. Arbitrary joints are allowed, including multiple-degree-of-freedom joints, and a general contact model is used. The operational space inertia matrix of the chain is used to solve for the unknown contact force vector at the tip, which is then used in the solution for the closed chain joint accelerations. The final solution requires only an additional n/sub c/*n/sub c/ matrix inverse for the closed chain part, where n/sub c/ is the number of degrees of constraint at the manipulator tip. The computational complexity of the algorithm is (ON/sup 3/). The reduction of the order of computation complexity of O(N) is briefly discussed.>
Kathryn W. Lilly, David E. Orin
ICRA1
1990 Efficient O(N) computation of the operational space inertia matrix
abstract
The development of a recursive algorithm for the operational space inertia matrix, the inertia propagation method, which reduces the computational complexity to O(N) for any manipulator is presented. The algorithm is based on a single recursion which begins at the base of the manipulator and progresses out to the last link. Spatial articulated transformations are utilized in the recursion procedure. The algorithm is the most efficient method known for N>or=6. The numerical accuracy of the algorithm is tested for a PUMA 560 robot with a fixed base. The results demonstrate the accuracy of the inertia propagation method for such a configuration.>
Kathryn W. Lilly, David E. Orin
ICRA1