Demo Data from SIGIR 2026 / reviewers in the wild / expert
Angel Calle
dblp:21/5694
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2007
—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 · 44% Robot manipulation · 44% Robot navigation and mapping · 13% |
Topics — the 2 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Robotics › Robot manipulation › robot design › manipulator design
adhesion mechanism |
0.1 | 1 | 2007 | City-Climbers at Work · ICRA 2007 |
Robotics › Legged, aerial and field robots › field robotics
wall-climbing robot |
0.1 | 1 | 2007 | City-Climbers at Work · ICRA 2007 |
Methods — techniques the papers use, named apart from their topics
aerodynamic attraction · 0.1DSP-based control · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2007 | City-Climbers at WorkabstractThe video presents recent progress of the wall-climbing robot project at the City College of New York. The robots are named as City-Climbers which adopt a novel adhesive mechanism based on aerodynamic attraction to achieve good balance between strong adhesion force and high mobility. The video demonstrates that the City-Climber robots can operate on virtually any kind of smooth or rough surfaces and have the capabilities to move on the ground, climb walls, and transit between them. The modular design achieves both fast motion of each module on planar surfaces and smooth transition between the surfaces by a set of two modules. The video also displays the Fluent simulation results of the aerodynamic attraction with the aim to optimize the design. DSP-based control system is introduced which enables the robot to operate both manually and autonomously Matthew Elliott, William Morris, Angel Calle, Jizhong Xiao |
ICRA | 3 |