Demo Data from SIGIR 2026 / reviewers in the wild / expert
Diego Gitardi
dblp:300/2969
· DBLP profile ↗
1ranked-venue papers
1as first author
1since 2021 · last 2023
0000-0002-6262-2468ORCID · reported
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 1 · 1 first-author · 1 since 2021Systems, architecture and hardware · 1 · 1 first-author · 1 since 2021
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 |
Motion planning and robot control · 100% |
Topics — the 2 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Robotics › Motion planning and robot control
robot control |
0.7 | 1 | 2023 | Trajectory error compensation for optimal control of UMA-2 - a climbing robot executing maintenance operation in harsh environment · ICRA 2023 |
Robotics › Motion planning and robot control › mobile robot control
climbing robot control |
0.2 | 1 | 2023 | Trajectory error compensation for optimal control of UMA-2 - a climbing robot executing maintenance operation in harsh environment · ICRA 2023 |
Methods — techniques the papers use, named apart from their topics
trajectory analysis · 0.7adaptation model · 0.7
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2023 | Trajectory error compensation for optimal control of UMA-2 - a climbing robot executing maintenance operation in harsh environmentabstractUMA-2 is a wheeled mobile platform equipped with a vacuum adhesion system, eight actuated joints and four passive ones, designed to climb vertical and curved surfaces. The platform can perform maintenance tasks such as corrosion removal and cleaning with grinding while climbing. The quality of the repairing process is largely affected by grinding process parameters including tool forces, toolpath and the robot trajectory accuracy. The current work introduces a trajectory analysis and adaptation model to control the UMA-2 platform to ensure specific surface quality KPIs and incorporating the effects of robot compliancy. The proposed trajectory analysis has been extensively validated through experimental campaigns representative of maintenance in wind power industry. Diego Gitardi, S. Sabbadini, Anna Valente |
ICRA | 1 |