Demo Data from VLDB 2026 / reviewers in the wild / expert
Shaun Edwards
dblp:65/3303
· DBLP profile ↗
2ranked-venue papers
1as first author
0since 2021 · last 2005
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 2 · 1 first-authorSystems, architecture and hardware · 2 · 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 navigation and mapping · 65% Legged, aerial and field robots · 28% Motion planning and robot control · 7% |
Topics — the 5 heaviest of 5, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Robotics › Robot navigation and mapping › target tracking
plume tracking |
0.1 | 2 | 2005 | Moth-Inspired Plume Tracking Strategies In Three-Dimensions · ICRA 2005 A Robotic Platform for Testing Moth-inspired Plume Tracking Strategies · ICRA 2004 |
Robotics › Legged, aerial and field robots › bio-inspired robot
bio-inspired robot control |
0.1 | 1 | 2005 | Moth-Inspired Plume Tracking Strategies In Three-Dimensions · ICRA 2005 |
Robotics › Robot navigation and mapping › source localization
odor source localization |
0.1 | 1 | 2005 | Moth-Inspired Plume Tracking Strategies In Three-Dimensions · ICRA 2005 |
Robotics › Motion planning and robot control
robot control |
0.0 | 1 | 2005 | Moth-Inspired Plume Tracking Strategies In Three-Dimensions · ICRA 2005 |
Robotics › Legged, aerial and field robots
field robotics |
0.0 | 1 | 2004 | A Robotic Platform for Testing Moth-inspired Plume Tracking Strategies · ICRA 2004 |
Methods — techniques the papers use, named apart from their topics
modified counter-turner algorithm · 0.1counter-turner algorithm · 0.1moth-inspired strategy · 0.0ionized air plume · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2005 | Moth-Inspired Plume Tracking Strategies In Three-DimensionsabstractTwo simple three-dimensional moth inspired odor tracking algorithms, Counter-turner and Modified counter-turner, were tested on a robotic platform. The Counter-turner uses the plume edge to modify the timing of the crosswind movements, while the Modified counter-turner uses the plume centerline. Both algorithms shows some success in tracking the plume to it’s source. In addition, flight tracks show promise in mimicking the flight tracks observed in biological experiments with the moth Manduca. Sexta. Shaun Edwards, Adam J. Rutkowski, Roger D. Quinn, Mark A. Willis |
ICRA | 1 |
| 2004 | A Robotic Platform for Testing Moth-inspired Plume Tracking StrategiesabstractA mobile autonomous robot capable of tracking an odor plume to its source can be used to locate hazardous material spills or leaks. To test plume tracking strategies in a laboratory environment, a robotic platform consisting of a linear Cartesian robotic gantry mounted inside a wind tunnel with a mobile floor has been designed. A plume of ionized air is created by an ion detector installed in the wind tunnel. A two-dimensional plume tracking strategy based on the behavior of the tobacco hornworm moth Manduca sexta is implemented and tested. It is discovered that a plume tracking algorithm can be implemented with the robotic platform almost as easily as in simulation. Adam J. Rutkowski, Shaun Edwards, Mark A. Willis, Roger D. Quinn, Greg C. Causey |
ICRA | 2 |