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Michael Schappert

dblp:91/9968 · DBLP profile ↗
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1ranked-venue papers
0as 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 · 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
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

TopicWeightPapersLastEvidence papers
Robotics › Legged, aerial and field robots › field robotics
environmental monitoring
0.112011
Robotic mapping and monitoring of data centers · ICRA 2011
Robotics › Robot navigation and mapping
mobile robot navigation
0.112011
Robotic mapping and monitoring of data centers · ICRA 2011
Robotics › Robot navigation and mapping › robot mapping › environment modeling
unknown environment mapping
0.112011
Robotic mapping and monitoring of data centers · ICRA 2011
Ubiquitous computing and smart environments
smart buildings
0.012011
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
YearPublicationVenuePosition
2011 Robotic mapping and monitoring of data centers
abstract
We 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
ICRA7