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Andrew D. Lewis

dblp:44/436 · DBLP profile ↗
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3ranked-venue papers
0as first author
0since 2021 · last 2003
0000-0001-7342-4275ORCID · corroborated

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

Artificial intelligence and machine learning · 2Systems, architecture and hardware · 2Applied, interdisciplinary, general and emerging computing · 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
3 papers
Motion planning and robot control · 85% Legged, aerial and field robots · 12% Face, body and person analysis · 2%
Theoretical computer science
1 paper
Computational geometry · 100%

Topics — the 7 heaviest of 9, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Robotics › Motion planning and robot control › controllability
kinematic controllability
0.012003
Kinematic controllability and motion planning for the snakeboard · IEEE Trans. Robotics Autom. 2003
Robotics › Motion planning and robot control › robot control
underactuated systems
0.012003
Kinematic controllability and motion planning for the snakeboard · IEEE Trans. Robotics Autom. 2003
Robotics › Motion planning and robot control
dynamic modeling
0.011995
The Mechanisms of Undulatory Locomotion: The Mixed Kinematic and Dynamic Case · ICRA 1995
Robotics › Legged, aerial and field robots
undulatory locomotion
0.011995
The Mechanisms of Undulatory Locomotion: The Mixed Kinematic and Dynamic Case · ICRA 1995
Robotics › Motion planning and robot control
robot control
0.011994
Nonholonomic Mechanics and Locomotion: The Snakeboard Example · ICRA 1994
Computer vision › Face, body and person analysis
gait analysis
0.011994
Nonholonomic Mechanics and Locomotion: The Snakeboard Example · ICRA 1994
Robotics › Legged, aerial and field robots › legged robots
legged robot locomotion
0.011994
Nonholonomic Mechanics and Locomotion: The Snakeboard Example · ICRA 1994

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

decoupling vector fields · 0.0constrained static nonlinear inversion · 0.0kinematic constraints · 0.0dynamic symmetries · 0.0numerical simulation · 0.0controllability analysis · 0.0
YearPublicationVenuePosition
2003 Kinematic controllability and motion planning for the snakeboard
abstract
The snakeboard is shown to possess two decoupling vector fields, and to be kinematically controllable. Accordingly, the problem of steering the snakeboard from a given configuration at rest to a desired configuration at rest is posed as a constrained static nonlinear inversion problem. An explicit algorithmic solution to the problem is provided, and its limitations are discussed. An ad hoc solution to the nonlinear inversion problem is also exhibited.
Francesco Bullo, Andrew D. Lewis
IEEE Trans. Robotics Autom.2
1995 The Mechanisms of Undulatory Locomotion: The Mixed Kinematic and Dynamic Case
abstract
This paper studies the mechanics of undulatory locomotion. This type of locomotion is generated by a coupling of internal shape changes to external non-holonomic constraints. Employing methods from geometric mechanics, the authors use the dynamic symmetries and kinematic constraints to develop a specialized form of the dynamic equations which govern undulatory systems. These equations are written in terms of physically meaningful and intuitively appealing variables that show the role of internal shape changes in driving locomotion.
James P. Ostrowski, Joel W. Burdick, Andrew D. Lewis, Richard M. Murray
ICRA3
1994 Nonholonomic Mechanics and Locomotion: The Snakeboard Example
abstract
Analysis and simulations are performed for a simplified model of a commercially available variant of the skateboard, known as the Snakeboard. Although the model exhibits basic gait patterns seen in a large number of locomotion problems, the analysis tools currently available do not apply to this problem. The difficulty lies primarily in the way in which the nonholonomic constraints enter into the system. As a first step towards understanding systems represented by their model the authors present the equations of motion and perform some controllability analysis for the snakeboard. The authors also perform numerical simulations of possible gait patterns which are characteristic of snakeboard locomotion.>
James P. Ostrowski, Andrew D. Lewis, Richard M. Murray, Joel W. Burdick
ICRA2