Demo Data from EDBT 2026 / reviewers in the wild / expert
Andrew D. Lewis
dblp:44/436
· DBLP profile ↗
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
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Robotics › Motion planning and robot control › controllability
kinematic controllability |
0.0 | 1 | 2003 | Kinematic controllability and motion planning for the snakeboard · IEEE Trans. Robotics Autom. 2003 |
Robotics › Motion planning and robot control › robot control
underactuated systems |
0.0 | 1 | 2003 | Kinematic controllability and motion planning for the snakeboard · IEEE Trans. Robotics Autom. 2003 |
Robotics › Motion planning and robot control
dynamic modeling |
0.0 | 1 | 1995 | The Mechanisms of Undulatory Locomotion: The Mixed Kinematic and Dynamic Case · ICRA 1995 |
Robotics › Legged, aerial and field robots
undulatory locomotion |
0.0 | 1 | 1995 | The Mechanisms of Undulatory Locomotion: The Mixed Kinematic and Dynamic Case · ICRA 1995 |
Robotics › Motion planning and robot control
robot control |
0.0 | 1 | 1994 | Nonholonomic Mechanics and Locomotion: The Snakeboard Example · ICRA 1994 |
Computer vision › Face, body and person analysis
gait analysis |
0.0 | 1 | 1994 | Nonholonomic Mechanics and Locomotion: The Snakeboard Example · ICRA 1994 |
Robotics › Legged, aerial and field robots › legged robots
legged robot locomotion |
0.0 | 1 | 1994 | 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
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2003 | Kinematic controllability and motion planning for the snakeboardabstractThe 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 CaseabstractThis 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 |
ICRA | 3 |
| 1994 | Nonholonomic Mechanics and Locomotion: The Snakeboard ExampleabstractAnalysis 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 |
ICRA | 2 |