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Scott R. Ploen

dblp:58/2278 · DBLP profile ↗
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2ranked-venue papers
2as first author
0since 2021 · last 1999
—ORCID · none

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

Artificial intelligence and machine learning · 1 · 1 first-authorSystems, architecture and hardware · 1 · 1 first-authorApplied, interdisciplinary, general and emerging 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
2 papers
Motion planning and robot control · 100%

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

TopicWeightPapersLastEvidence papers
Robotics › Motion planning and robot control
robot dynamics
0.021999
Coordinate-invariant algorithms for robot dynamics · IEEE Trans. Robotics Autom. 1999
Geometric algorithms for operational space dynamics and control · ICRA 1997
Robotics › Motion planning and robot control › robot dynamics
recursive dynamics algorithms
0.011999
Coordinate-invariant algorithms for robot dynamics · IEEE Trans. Robotics Autom. 1999
Robotics › Motion planning and robot control › robot control
operational space control
0.011997
Geometric algorithms for operational space dynamics and control · ICRA 1997
Robotics › Motion planning and robot control
robot control
0.011997
Geometric algorithms for operational space dynamics and control · ICRA 1997

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

lie group theory · 0.0lie algebra · 0.0recursive algorithm · 0.0
YearPublicationVenuePosition
1999 Coordinate-invariant algorithms for robot dynamics
abstract
We present, using methods from the theory of Lie groups and Lie algebras, a coordinate-invariant formulation of the dynamics of open kinematic chains. We first re-formulate the recursive dynamics algorithm originally given by Park et al. (1995) for open chains in terms of standard linear operators on the Lie algebra of the special Euclidean group. Using straight forward algebraic manipulations, we then recast the resulting algorithm into a set of closed-form dynamic equations. We then reformulate Featherstone's (1987) articulated body inertia algorithm using this same geometric framework, and re-derive Rodriguez et al.'s (1991, 1992) square factorization of the mass matrix and its inverse. An efficient O(n) recursive algorithm for forward dynamics is also extracted from the inverse factorization. The resulting equations lead to a succinct high-level description of robot dynamics in both joint and operational space coordinates that minimizes symbolic complexity without sacrificing computational efficiency, and provides the basis for a dynamics formulation that does not require link reference frames in the description of the forward kinematics.
Scott R. Ploen, Frank C. Park 0001
IEEE Trans. Robotics Autom.1
1997 Geometric algorithms for operational space dynamics and control
abstract
In this article we develop a geometric formulation of operational space dynamics and control based on standard results from the theory of Lie groups and Lie algebras. Beginning with the coordinate invariant formulation of robot dynamics presented in Park et al. (1995), we extend these results to develop the equations of motion in operational space coordinates. The resulting equations can be expressed in a recursive fashion for applications requiring computationally efficient algorithms, or can be expressed in terms of simple matrix factors in which the robot parameters appear transparently for applications involving high-level manipulation of the equations of motion. Further, our formulation of operational space dynamics and control is not bound to any specific choice of local reference frames to carry out the dynamic analysis.
Scott R. Ploen, James E. Bobrow, Frank C. Park 0001
ICRA1