EDBT 2026 Demo / reviewers in the wild / expert
Cadence Motley
dblp:274/9655
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2020
—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.
| Artificial intelligence
1 paper |
Legged, aerial and field robots · 61% Robot navigation and mapping · 30% Robot manipulation · 9% |
Topics — the 2 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Robotics › Legged, aerial and field robots › field robotics
climbing robot |
0.4 | 1 | 2020 | A Practical Climbing Robot for Steel Bridge Inspection · ICRA 2020 |
Robotics › Legged, aerial and field robots
field robotics |
0.4 | 1 | 2020 | A Practical Climbing Robot for Steel Bridge Inspection · ICRA 2020 |
Methods — techniques the papers use, named apart from their topics
mechanism design · 0.4magnetic adhesion · 0.4
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2020 | A Practical Climbing Robot for Steel Bridge InspectionabstractThe advanced robotic and automation (ARA) lab has developed and successfully implemented a design inspired by many of the various cutting edge steel inspection robots to date. The combination of these robots concepts into a unified design came with its own set of challenges since the parameters for these features sometimes conflicted. An extensive amount of design and analysis work was performed by the ARA lab in order to find a carefully tuned balance between the implemented features on the ARA robot and general functionality. Having successfully managed to implement this conglomerate of features represents a breakthrough to the industry of steel inspection robots as the ARA lab robot is capable of traversing most complex geometries found on steel structures while still maintaining its ability to efficiently travel along these structures; a feat yet to be done until now. Son Thanh Nguyen, Anh Quyen Pham, Cadence Motley, Hung Manh La |
ICRA | 3 |