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Tiarnan O. Kelly

dblp:226/6296 · DBLP profile ↗
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1ranked-venue papers
0as 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 · 1Systems, architecture and hardware · 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.

Software engineering, system software, and programming languages
1 paper
Requirements engineering and software design · 100%
Artificial intelligence
1 paper
Robot manipulation · 100%

Topics — the 3 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Requirements engineering and software design
software design methodology
0.312018
Adapting the Goals/Questions/Metrics (GQM) Method for Applications in Robot Design · ICRA 2018
Robotics › Robot manipulation
grasping
0.112018
Adapting the Goals/Questions/Metrics (GQM) Method for Applications in Robot Design · ICRA 2018
Robotics › Robot manipulation › grasping
gripper design
0.112018
Adapting the Goals/Questions/Metrics (GQM) Method for Applications in Robot Design · ICRA 2018

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

goals/questions/metrics method · 0.7
YearPublicationVenuePosition
2018 Adapting the Goals/Questions/Metrics (GQM) Method for Applications in Robot Design
abstract
Developing advanced robots can be a resource-intensive activity that creates many challenges for research teams. There is a need to formulate new techniques for systematically designing complex robot systems, especially in cases where high adaptability is needed and design metrics cannot be explicitly specified in advance. This research explores how the Goals/Questions/Metrics (GQM) method, a well-established technique for process measurement, can be modified for use as a design tool in robotics. To illustrate how a design-orientated GQM method may be used in practice, a sample use-case is given detailing how the approach was applied to the task of developing a bespoke robotic gripper for a service robot. The study provides an early indication that the adoption of GQM principles by designers can have significant benefits in robotics applications. However, further investigation is needed to better understand the magnitude and scope of any improvements.
Conor McGinn, Eamonn Bourke, Tiarnan O. Kelly, Michael Cullinan
ICRA3