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Stephen A. Conyers

dblp:164/8277 · DBLP profile ↗
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2ranked-venue papers
2as first author
0since 2021 · last 2018
—ORCID · none

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

Artificial intelligence and machine learning · 2 · 2 first-authorSystems, architecture and hardware · 2 · 2 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
Legged, aerial and field robots · 62% Motion planning and robot control · 38%

Topics — the 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Robotics › Legged, aerial and field robots
aerial robots
0.522018
An Empirical Evaluation of Ground Effect for Small-Scale Rotorcraft · ICRA 2018
A mobile self-leveling landing platform for VTOL UAVs · ICRA 2015
Robotics › Motion planning and robot control
robot control
0.522018
An Empirical Evaluation of Ground Effect for Small-Scale Rotorcraft · ICRA 2018
A mobile self-leveling landing platform for VTOL UAVs · ICRA 2015
Robotics › Legged, aerial and field robots › aerial robot control
drone control
0.312018
An Empirical Evaluation of Ground Effect for Small-Scale Rotorcraft · ICRA 2018

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

experimental evaluation · 0.5cheeseman-bennett model · 0.3prototype design · 0.2
YearPublicationVenuePosition
2018 An Empirical Evaluation of Ground Effect for Small-Scale Rotorcraft
abstract
Ground effect refers to the apparent increase in lift that an aircraft experiences when it flies close to the ground. For helicopters, this effect has been modeled since the 1950's based on the work of Cheeseman and Bennett, perhaps the most common method for predicting hover performance due to ground effect. This model, however, is based on assumptions that do not hold for small-scale rotorcraft because it was developed specifically for conventional helicopters. It is not clear if the Cheeseman-Bennett model can be applied to today's multirotor UAVs. In this paper, we compare the Cheeseman-Bennett model to experimental results for rotor performance due to ground effect in several small-scale multirotor and single-rotor configurations. Experimental findings suggest that some of the conventional thinking surrounding helicopter ground effect cannot be applied directly to rotorcraft using fixed propellers at variable speeds (e.g. multirotors), and that it is necessary to adjust the helicopter models to better reflect the differences in such aircraft. The experimental results for multirotors presented are for multiple propeller configurations, speeds and spacings. Ultimately, this work will facilitate the development of an improved UAV flight controller that can accurately account for ground effect to improve flight stability near surfaces and structures.
Stephen A. Conyers, Matthew J. Rutherford, Kimon P. Valavanis
ICRA1
2015 A mobile self-leveling landing platform for VTOL UAVs
abstract
A semi-autonomous mobile self-leveling landing platform designed to launch, recover and re-launch VTOL UAVs without the need for human intervention is described. The landing platform is rugged, lightweight and inexpensive, making it ideal for civilian applications that require a base station from which a rotorcraft UAV can be launched and/or recovered on terrain that is normally unsuitable for UAV take-off and landing. This landing platform is capable of autonomously self-leveling on rough terrain and inclines up to 25°, and can operate in isolated remote locations for extended periods of time using large onboard lithium batteries and wireless communication. The unique design aspects of this landing platform are that it is mobile, self-leveling, and man-portable. A fully-operational prototype has been designed, constructed and evaluated. Design details and experimental results are presented to demonstrate the landing platform's functionality, and that all primary design requirements have been met.
Stephen A. Conyers, Nikolaos I. Vitzilaios, Matthew J. Rutherford, Kimon P. Valavanis
ICRA1