Demonstration venue · read-only. Every page can be browsed; the buttons that would change it are switched off. Create an account to run TaxoReview on your own data. A simulation from public publication records: the people listed were not invited and did not agree to review.
? Tutorial for this page

Shaun Edwards

dblp:65/3303 · DBLP profile ↗
← Back
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

TopicWeightPapersLastEvidence papers
Robotics › Robot navigation and mapping › target tracking
plume tracking
0.122005
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
0.112005
Moth-Inspired Plume Tracking Strategies In Three-Dimensions · ICRA 2005
Robotics › Robot navigation and mapping › source localization
odor source localization
0.112005
Moth-Inspired Plume Tracking Strategies In Three-Dimensions · ICRA 2005
Robotics › Motion planning and robot control
robot control
0.012005
Moth-Inspired Plume Tracking Strategies In Three-Dimensions · ICRA 2005
Robotics › Legged, aerial and field robots
field robotics
0.012004
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
YearPublicationVenuePosition
2005 Moth-Inspired Plume Tracking Strategies In Three-Dimensions
abstract
Two 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
ICRA1
2004 A Robotic Platform for Testing Moth-inspired Plume Tracking Strategies
abstract
A 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
ICRA2