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Andrew Studenski

dblp:43/8369 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2010
—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.

Interdisciplinary, comprehensive, and emerging computing
1 paper
Environmental and earth informatics · 100%
Computer networks
1 paper
Internet of things and sensor networks · 100%
Artificial intelligence
1 paper
Robot navigation and mapping · 100%

Topics — the 5 heaviest of 5, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Robotics › Robot navigation and mapping › mobile robot navigation › route navigation
waypoint navigation
0.112010
A Robotic Sensor Network for monitoring carp in Minnesota lakes · ICRA 2010
Environmental and earth informatics › environmental monitoring
aquatic monitoring
0.112010
A Robotic Sensor Network for monitoring carp in Minnesota lakes · ICRA 2010
Environmental and earth informatics
environmental monitoring
0.112010
A Robotic Sensor Network for monitoring carp in Minnesota lakes · ICRA 2010
Internet of things and sensor networks › mobile sensor networks
robotic sensor network
0.112010
A Robotic Sensor Network for monitoring carp in Minnesota lakes · ICRA 2010
Internet of things and sensor networks
wireless sensor network
0.112010
A Robotic Sensor Network for monitoring carp in Minnesota lakes · ICRA 2010

Methods — techniques the papers use, named apart from their topics

waypoint navigation · 0.3radio telemetry · 0.3
YearPublicationVenuePosition
2010 A Robotic Sensor Network for monitoring carp in Minnesota lakes
abstract
Robotic Sensor Networks (RSNs) find increasing use in environmental monitoring as RSNs can collect data from obscure, hard-to-reach places over long periods of time. This work reports progress in building a network of small, light-weight robotic rafts which will be used to monitor common carp tagged with radio transmitters across Minnesota lakes. We describe the design and architecture of the robotic raft, and demonstrate the robustness of our waypoint navigation algorithm through field tests conducted in various lakes. We also present results from experiments aimed towards localizing tagged fish.
Deepak Bhadauria, Volkan Isler, Andrew Studenski, Pratap Tokekar
ICRA3