Demo Data from VLDB 2026 / reviewers in the wild / expert
Erik Mumm
dblp:64/6022
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2002
—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 |
Multi-agent systems · 39% Motion planning and robot control · 30% Legged, aerial and field robots · 30% |
Topics — the 3 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Robotics › Motion planning and robot control › multi-robot control
distributed robot control |
0.0 | 1 | 2002 | Distributed Control for a Modular, Reconfigurable Cliff Robot · ICRA 2002 |
Robotics › Legged, aerial and field robots
field robotics |
0.0 | 1 | 2002 | Distributed Control for a Modular, Reconfigurable Cliff Robot · ICRA 2002 |
Knowledge, reasoning and agents › Multi-agent systems
multi-robot systems |
0.0 | 1 | 2002 | Distributed Control for a Modular, Reconfigurable Cliff Robot · ICRA 2002 |
Methods — techniques the papers use, named apart from their topics
tethered robot coordination · 0.0behavior networks · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2002 | Distributed Control for a Modular, Reconfigurable Cliff RobotabstractWe have developed a cliff robot that is capable of descending a cliff and autonomously navigating to way-points on the cliff wall. This aggressive mobility system consists of an ensemble of three tethered robots, which cooperate under tight coordinated control and collective state estimation. The distributed task is described as a behavior network, which consists of a network of controllers spread across the robots and which interact through communication links to achieve a collective control objective. Fielded experimental results show that the cliff robot is capable of navigating to designated way-points on a cliff wall using the proposed control scheme. Paolo Pirjanian, Chris Leger, Erik Mumm, Brett Kennedy, Michael Garrett, Hrand Aghazarian, Shane Farritor, Paul S. Schenker |
ICRA | 3 |