EDBT 2026 Demo / reviewers in the wild / expert
Christopher R. Mansley
dblp:69/5642
· DBLP profile ↗
2ranked-venue papers
1as first author
0since 2021 · last 2011
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 2 · 1 first-authorSystems, architecture and hardware · 1 · 1 first-author
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 |
Robot navigation and mapping · 67% Legged, aerial and field robots · 33% | |
| Human-computer interaction and pervasive computing
1 paper |
Ubiquitous computing and smart environments · 100% |
Topics — the 4 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
environmental monitoring |
0.1 | 1 | 2011 | Robotic mapping and monitoring of data centers · ICRA 2011 |
Robotics › Robot navigation and mapping
mobile robot navigation |
0.1 | 1 | 2011 | Robotic mapping and monitoring of data centers · ICRA 2011 |
Robotics › Robot navigation and mapping › robot mapping › environment modeling
unknown environment mapping |
0.1 | 1 | 2011 | Robotic mapping and monitoring of data centers · ICRA 2011 |
Ubiquitous computing and smart environments
smart buildings |
0.0 | 1 | 2011 | Robotic mapping and monitoring of data centers · ICRA 2011 |
Methods — techniques the papers use, named apart from their topics
intelligent sampling · 0.2autonomous navigation · 0.2
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2011 | Robotic mapping and monitoring of data centersabstractWe describe an inexpensive autonomous robot capable of navigating previously unseen data centers and monitoring key metrics such as air temperature. The robot provides real-time navigation and sensor data to commercial IBM software, thereby enabling real-time generation of the data center layout, a thermal map and other visualizations of energy dynamics. Once it has mapped a data center, the robot can efficiently monitor it for hot spots and other anomalies using intelligent sampling. We demonstrate the robot's effectiveness via experimental studies from two production data centers. Christopher R. Mansley, Jonathan H. Connell, Canturk Isci, Jonathan Lenchner, Jeffrey O. Kephart, Suzanne McIntosh, Michael Schappert |
ICRA | 1 |
| 2006 | Efficient Motion Planning Strategies for Large-Scale Sensor Networks
Jason C. Derenick, Christopher R. Mansley, John R. Spletzer |
WAFR | 2 |